phd types of research

LET US HELP

Welcome to Capella

Select your program and we'll help guide you through important information as you prepare for the application process.

FIND YOUR PROGRAM

Connect with us

A team of dedicated enrollment counselors is standing by, ready to answer your questions and help you get started.

• Capella University Blog
• PhD/Doctorate

What are acceptable dissertation research methods?

August 16, 2023

Reading time:  3–4 minutes

Doctoral research is the cornerstone of a PhD program .

In order to write a dissertation, you must complete extensive, detailed research. Depending on your area of study, different types of research methods will be appropriate to complete your work.

“The choice of research method depends on the questions you hope to answer with your research,” says Curtis Brant, PhD, Capella University dean of research and scholarship.

Once you’ve identified your research problem, you’ll employ the methodology best suited for solving the problem.

There are two primary dissertation research methods: qualitative and quantitative.

Qualitative

Qualitative research focuses on examining the topic via cultural phenomena, human behavior or belief systems. This type of research uses interviews, open-ended questions or focus groups to gain insight into people’s thoughts and beliefs around certain behaviors and systems.

Dr. Brant says there are several approaches to qualitative inquiry. The three most routinely used include:

Generic qualitative inquiry. The researcher focuses on people’s experiences or perceptions in the real world. This often includes, but is not limited to, subjective opinions, attitudes and beliefs .

Case study. The researcher performs an in-depth exploration of a program, event, activity or process with an emphasis on the experience of one or more individuals. The focus of this kind of inquiry must be defined and often includes more than one set of data, such as interviews and field notes, observations or other qualitative data.

Phenomenological. The researcher identifies lived experiences associated with how an individual encounters and engages with the real world .

Qualitative research questions seek to discover:

• A participant’s verbal descriptions of a phenomenon being investigated
•  A researcher’s observations of the phenomenon being investigated
• An integrated interpretation of participant’s descriptions and researchers observations

Quantitative

Quantitative research involves the empirical investigation of observable and measurable variables. It is used for theory testing, predicting outcomes or determining relationships between and among variables using statistical analysis.

According to Dr. Brant, there are two primary data sources for quantitative research.

Surveys: Surveys involve asking people a set of questions, usually testing for linear relationships, statistical differences or statistical independence. This approach is common in correlation research designs.

Archival research (secondary data analysis). Archival research involves using preexisting data to answer research questions instead of collecting data from active human participants.

Quantitative research questions seek to address:

• Descriptions of variables being investigated
• Measurements of relationships between (at least two) variables
• Differences between two or more groups’ scores on a variable or variables

Which method should you choose?

Choosing a qualitative or quantitative methodology for your research will be based on the nature of the questions you ask, the preferred method in your field, the feasibility of the approach and other factors. Many programs offer doctoral mentors and support teams that can help guide you throughout the process.

Capella University offers PhD and professional doctorate degree programs ranging from business to education and health to technology. Learn more about Capella doctoral programs and doctoral support.

You may also like

Can I transfer credits into a doctoral program?

January 8, 2020

What are the steps in writing a dissertation?

December 11, 2019

The difference between a dissertation and doctoral capstone

November 25, 2019

Start learning today

Get started on your journey now by connecting with an enrollment counselor. See how Capella may be a good fit for you, and start the application process.

Please Exit Private Browsing Mode

Your internet browser is in private browsing mode. Please turn off private browsing mode if you wish to use this site.

Are you sure you want to cancel?

• Hire a PhD Guide
• Guidance Process
• PhD Topic and Proposal Help
• PhD Thesis Chapters Writing
• PhD Literature Review Writing Help
• PhD Research Methodology Chapter Help
• Questionnaire Design for PhD Research
• PhD Statistical Analysis Help
• Qualitative Analysis Help for PhD Research
• Software Implementation Help for PhD Projects
• Journal Paper Publication Assistance
• Addressing Comments, Revisions in PhD Thesis
• Enhance the Quality of Your PhD Thesis with Professional Thesis Editing Services
• PhD Thesis Defence Preparation

Ethical research guidance and consulting services for PhD candidates since 2008

Topic selection & proposal development, enquire now, software implementation using matlab, questionnaire designing & data analysis, chapters writing & journal papers, 5 different types of research methodology for 2024.

Research Methodology refers to the systematic process used to conduct and analyze research. It involves a set of procedures and techniques employed to gather, organize, and interpret data. Various types of research methodology , such as qualitative and quantitative methods, form the foundation for investigating and understanding diverse phenomena. 

Diverse research methodology provide a spectrum of advantages in scientific exploration. Qualitative methodologies, such as interviews and observations, delve deep into understanding human behavior and motivations. Quantitative approaches, like surveys and experiments, offer precise numerical data for statistical analysis. Mixed-methods enable a comprehensive view by merging qualitative and quantitative strengths. Experimental methods establish cause-and-effect relationships, while case studies offer in-depth insights into specific instances. Each methodology caters to different research needs, fostering a nuanced understanding of complex phenomena and contributing to the richness and depth of scholarly inquiry.

This blog is your guide to the Top 5 types of research methods that haven’t been fully tapped into yet. We’re talking about different ways to do research, the kind that hasn’t been widely used or discovered. It’s crucial to stay on top of these categories of research methodology because as the world moves forward, so does the way we study and understand things. So, we’ll be checking out the latest and coolest Research methodology types , from new technologies to fresh ways of combining different fields of study. 

Different types of methodology in research

Research methodology encompasses a variety of approaches and techniques to gather and analyze data. Here are some Different types of methodology in research:

Qualitative Methodology:

In-depth exploration of attitudes, behaviors, and motivations.

Utilizes methods like interviews, focus groups, and content analysis.

Quantitative Methodology:

Focuses on numerical data and statistical analysis.

Involves surveys, experiments, and structured observations.

Mixed-Methods Approach:

Integrates both qualitative and quantitative methods.

Offers a thorough comprehension of the research problem.

Experimental Research:

Investigates cause-and-effect relationships.

Involves controlled experiments with manipulated variables.

Survey Research:

Gathers data from a selected group through structured questionnaires.

Examines trends, attitudes, and opinions.

Case Study Methodology:

In-depth analysis of a specific instance or case.

Offers detailed insights into complex phenomena.

Action Research:

Involves collaboration between researchers and practitioners.

Aims to solve real-world problems through iterative cycles of planning, acting, observing, and reflecting.

Ethnographic Research:

Immersive study of a specific group or culture.

Requires prolonged engagement and participant observation.

Methodology 1: Neurobiological Methodology

Neurobiological Methodology stands at the forefront of methodology in research paper, bridging the realms of neuroscience and traditional research methodologies. This is one of the Research methodology types which aims to unravel the intricacies of human cognition and behavior by integrating cutting-edge brain imaging techniques with established research methods.

Key Components:

Neuroimaging Technologies: Utilizes advanced technologies such as fMRI (functional Magnetic Resonance Imaging) and EEG (Electroencephalography) for all the research methodologies including exploratory research in research methodology. Enables real-time monitoring of brain activity, offering insights into cognitive processes during various tasks.

Biometric Data Integration: Incorporates biometric data, including heart rate variability and skin conductance, to supplement neurobiological findings. Provides a comprehensive understanding of emotional responses and physiological changes related to cognitive activities.

Experimental Designs with Neural Correlates: Designs experiments that correlate specific neural activities with behavioral responses. Allows researchers to identify neural markers associated with decision-making, memory, and learning.

Cross-Disciplinary Collaboration: Encourages collaboration between neuroscientists and researchers from diverse fields. Integrates expertise from psychology, sociology, and other disciplines to ensure a holistic approach.

Applications: Neurobiological Methodology, which is a descriptive methodology in research, holds immense potential across various research domains:

In Psychology: Unraveling the neural basis of psychological disorders, emotions, and cognitive functions.

In Marketing: Understanding consumer behavior by examining the neural responses to advertisements and product choices.

In Education: Enhancing learning methodologies by identifying neural patterns associated with effective teaching strategies.

Challenges and Future Directions: Despite its promises, Neurobiological Methodology faces challenges such as data complexity and ethical considerations. Future research should focus on refining methodologies, establishing ethical guidelines, and fostering interdisciplinary collaboration to unlock the full potential of this unexplored approach. Neurobiological Methodology emerges as a groundbreaking frontier, offering a novel lens through which researchers can delve into the intricacies of human cognition and behavior. As one of the different types of methodology in research, it holds the potential to reshape our understanding of the mind and pave the way for innovative solutions across diverse fields.

Methodology 2: Augmented Reality (AR) Research Methodology

Augmented Reality (AR) Research Methodology marks an unexplored frontier, intertwining cutting-edge AR technologies with traditional research methods. This is one of the types of methodology in research which seeks to create immersive environments for data collection, offering a unique perspective on human behavior and decision-making.

Constructs simulated environments using AR technology to observe and analyze real-time human behavior.

Enables researchers to study reactions and interactions in controlled yet dynamic settings.

Integrates AR-generated data collection points within physical spaces.

Facilitates the gathering of diverse data sets by embedding virtual elements in real-world contexts.

Utilizes AR interfaces to track user interactions and responses.

Enhances the understanding of user engagement and decision-making processes within augmented scenarios.

Combines AR experiences with traditional research methods such as exploratory research in research methodology for a comprehensive approach.

Allows researchers to triangulate findings by comparing results obtained from both virtual and non-virtual settings.

Applications: AR Research Methodology, which is also a descriptive methodology in research, holds promise across various research domains:

Simulating scenarios to observe human responses to environmental changes in descriptive qualitative research methodology.

Analyzing consumer behavior within augmented retail environments for product placement and advertising strategies.

Creating interactive learning experiences to study the impact of AR on knowledge retention.

Challenges and Future Directions: Challenges such as technological constraints and the need for standardized protocols highlight the evolving nature of this Research methodology types. Future endeavors should focus on refining AR applications, establishing ethical guidelines, and exploring collaborative opportunities with AR developers. Augmented Reality Research Methodology stands as an exciting avenue among the types of methodology in research, offering a transformative approach to understanding human behavior within virtual and augmented spaces. As technology continues to advance, this methodology holds the potential to redefine the landscape of research methodologies across diverse disciplines.

Methodology 3: Predictive Analytics in Social Sciences

Predictive Analytics in Social Sciences emerges as a groundbreaking methodology in research papers, introducing advanced statistical models and machine learning algorithms to forecast social trends and behaviors. This type of exploratory research methodologies harnesses the power of predictive analytics to offer a new dimension to traditional categories of research methodology.

Advanced Statistical Models:

Applies sophisticated statistical models, including regression analysis and time-series forecasting.

Enables researchers to identify patterns and relationships within social data.

Machine Learning Algorithms:

Integrates machine learning algorithms to predict future outcomes based on historical data.

Provides a dynamic and adaptive approach to understanding social phenomena in descriptive qualitative research methodology.

Big Data Utilization:

Harnesses large datasets from diverse sources, including social media, surveys, and public records.

Facilitates the identification of trends and correlations within complex social systems.

Real-Time Analysis:

Conducts real-time analysis of social data to generate instant predictions.

Allows for timely interventions and policy adjustments based on emerging social patterns.

Applications: Predictive Analytics in Social Sciences holds immense potential across various applications:

In Sociology: Forecasting demographic shifts, social movements, and cultural trends.

In Public Policy: Informing policy decisions by predicting the potential impact of interventions.

In Market Research: Anticipating consumer behavior and market trends for strategic planning.

Challenges and Future Directions: Despite its promises, integrating predictive analytics into social sciences faces challenges such as data privacy concerns and model interpretability, which is a type of exploratory research methodologies. Future research should focus on refining models, addressing ethical considerations, and enhancing the transparency of predictive analytics methodologies.

Predictive Analytics in Social Sciences stands as a dynamic methodology, extending beyond basic research methodology to offer foresight into the complex dynamics of human societies. As we embrace the era of big data, this approach holds the potential to revolutionize how we understand and respond to social changes in real time.

Methodology 4: Quantum Research Methodology

Quantum Research Methodology represents a paradigm shift, bridging the world of quantum physics with a basic research methodology. This unexplored approach challenges the traditional classification of research methodology by harnessing the principles of quantum mechanics for data analysis.

Quantum Computing for Data Processing: Utilizes quantum computing’s parallel processing capabilities for handling complex datasets. Offers a quantum leap in computational efficiency, enabling the analysis of vast amounts of information.

Quantum Entanglement in Data Relationships: Applies the concept of quantum entanglement to identify interconnected relationships within datasets. Provides a unique perspective on the interdependence of variables in comprehensive research methodology.

Superposition for Multifaceted Analysis: Exploits quantum superposition to analyze data simultaneously from multiple perspectives. Enhances researchers’ ability to examine complex phenomena from various angles.

Quantum Algorithms for Pattern Recognition: Develops quantum algorithms for advanced pattern recognition within datasets. Enables the identification of subtle patterns that may go unnoticed with classical algorithms.

Applications: Quantum Research Methodology holds potential classification of research methodology across diverse fields:

Exploring quantum phenomena and complex physical systems with enhanced computational power.

Analyzing intricate biological datasets to uncover hidden relationships and patterns.

Enhancing predictive modeling and risk analysis with quantum algorithms.

Challenges and Future Directions: The integration of quantum principles into research methodologies presents challenges such as the need for quantum expertise and the development of quantum-safe data encryption. Future research should focus on refining quantum algorithms, expanding interdisciplinary collaborations, and addressing ethical considerations. Quantum Research Methodology offers a novel and comprehensive approach that transcends traditional classifications of research methodology. As quantum technologies continue to advance, this unexplored frontier holds the promise of revolutionizing how we conduct research, analyze data, and gain insights into the underlying structures of complex systems.

Methodology 5: Bibliometric Research Methodology

Bibliometric research methodology is a quantitative approach that analyzes patterns and trends within academic literature, utilizing bibliographic data to gain insights into the scholarly landscape in the comprehensive research methodology.

Citation Analysis:

Examines the frequency and impact of citations to understand the influence of a publication.

Identifies seminal works and measures the academic impact of research.

Co-authorship Networks:

Maps collaborations among researchers through analysis of co-authored publications.

Unveils research communities and the dynamics of collaborative efforts.

Journal Impact Factors:

Evaluates the prestige and impact of academic journals based on citation patterns.

Assists researchers in identifying reputable outlets for publication.

Keyword Co-occurrence:

Identifies prevalent themes and topics within a field by analyzing the co-occurrence of keywords.

Facilitates trend analysis and the identification of emerging research areas.

Applications:

Research Evaluation:

Assessing the impact and productivity of researchers, institutions, or journals.

Informing funding agencies and policymakers in decision-making processes.

Trend Analysis:

Identifying emerging topics and research directions within a discipline.

Assisting researchers in staying abreast of the latest developments.

Collaboration Mapping:

Facilitating the identification of potential collaborators and research networks.

Enhancing interdisciplinary research initiatives.

Challenges:

Data Quality and Availability:

Limited availability and consistency of bibliographic data.

Challenges in obtaining accurate and comprehensive citation information.

Discipline-specific Differences:

Variability in citation practices across disciplines.

Difficulty in creating standardized metrics applicable to all fields.

Self-citation Bias:

Influence of self-citations on impact metrics.

Requires careful consideration to avoid skewing results.

Future Directions:

Integration with Altmetrics:

Incorporating alternative metrics like social media mentions to provide a more comprehensive assessment of research impact.

Open Science Initiatives:

Embracing open access principles to enhance data sharing and transparency.

Facilitating broader collaboration and increasing the accessibility of research outputs.

Machine Learning Applications:

Implementing machine learning algorithms for more sophisticated analysis.

Enhancing the automation of bibliometric processes and improving accuracy.

Final Thoughts

In wrapping up our exploration of the top 5 unexplored types of research methodology for 2024, it’s like we’ve discovered a treasure chest of new ideas. These methods are like a breath of fresh air in the world of research. From understanding how our brains work to creating virtual worlds with Augmented Reality, and predicting social trends, we’re on the brink of something big. 

Quantum research and Blockchain verification bring a touch of magic, making our data analysis smarter and more secure. These aren’t just fancy trends; they’re like keys to unlock a whole new era of learning. So, in 2024, researchers, buckle up and dive into these research methodology – the journey promises to be full of surprises, discoveries, and a whole lot of new knowledge!

Educba is a website that provides researchers with a comprehensive guide to different types of research methodologies. The website offers a wide range of courses and tutorials on research methodology, which can help researchers develop their research skills and knowledge. By taking these courses, researchers can learn about different research methods and techniques, such as surveys, case studies, and experiments. 

This knowledge can help researchers design and conduct their research more effectively and efficiently. Additionally, the website provides a platform for researchers to connect with other researchers and experts in their field. This can help researchers build their professional network and find new opportunities for research and collaboration. Overall, educba.com is a valuable resource for researchers who are looking to develop their research skills and knowledge and build their professional network.

Frequently Asked Questions

What is the research methodology?

Research methodology is the systematic process used to conduct and analyze research.

What is literature review in research methodology?

Literature review in research methodology involves reviewing and analyzing existing literature on a specific topic.

What is qualitative research methodology?

Qualitative research methodology involves exploring and understanding complex phenomena through non-numerical data.

What are qualitative methodologies?

Qualitative methodologies encompass various approaches like interviews, focus groups, and content analysis.

What are research methodology types?

Research methodology types include qualitative, quantitative, mixed methods, experimental, and survey research.

Recent Posts

• How to Choose Well Matched Research Methodologies in PhD in 2024 – 25 Research Methodology January 16, 2024
• 5 Different Types of Research Methodology for 2024 PhD Research January 9, 2024
• 12 UNEXPLORED Data Analysis Tools for Qualitative Research Qualitative Analysis January 4, 2024
• Separating Myth from Reality: The Scientific Rigor of Qualitative Research Topic and Proposal March 7, 2023
• PhD Guidance: How We Aid Your Preparation for PhD Thesis Defence PhD Thesis September 8, 2022
• Data Analysis
• PhD Research
• Qualitative Analysis
• Research Methodology
• Topic and Proposal

REQUEST CALL BACK

Quick links.

• PhD Guidance Maharashtra Trail
• Synopsis and Thesis Assistance
• Privacy Policy
• Terms of use
• Schedule Your Consultation Now
• Grievance Redressal

Information

• Geo Polymer for road construction
• Machine Learning for Image processing applications
• IoT and automation
• Concrete strength with changing flyash percentage
• Purchase regret prediction with Deep Learning
• Low Power VLSI
• Antenna design using HFSS
• PhD Planner

CONTACT DETAILS

• 022 4896 4199 (20 Lines)
• 0091 93102 29971
• [email protected]
• Copyright © 2008-2024 PhD Guidance All Rights Reserved.

Public Health Doctoral Studies (PhD and DrPH): Types of Studies

• Searching the Literature
• Find Articles
• Methodology
• Grey Literature
• Test/Survey/Measurement Tools
• Types of Studies
• Workshops & Special Events
• Writing Support
• Literature Review Videos/Tutorials
• Citation Support
• Formatting Your Paper
• Ordering from your Home Library

Study Definitions

Meta-Analysis

A quantitative method of combining the results of independent studies, which are drawn from the published literature, and synthesizing summaries and conclusions.

Systematic Review

A review which endeavors to consider all published and unpublished material on a specific question.  Studies that are judged methodologically sound are then combined quantitatively or qualitatively depending on their similarity.

Randomized Control Trial (RCT)

A  clinical trial involving one or more new treatments and at least one control treatment with specified outcome measures for evaluating the intervention.  The treatment may be a drug, device, or procedure. Controls are either placebo or an active treatment that is currently considered the "gold standard".  If patients are randomized via mathmatical techniques then the trial is designated as a randomized controlled trial.

Cohort Study

In cohort studies, groups of individuals, who are initially free of disease, are classified according to exposure or non-exposure to a risk factor and followed over time to determine the incidence of an outcome of interest.  In a prospective cohort study, the exposure information for the study subjects is collected at the start of the study and the new cases of disease are identified from that point on.  In a retrospective cohort study, the exposure status was measured in the past and disease identification has already begun. 

Case-Control Study

Studies that start by identifying persons with and without a disease of interest (cases and controls, respectively) and then look back in time to find differences in exposure to risk factors. 

Cross-Sectional Study

Studies in which the presence or absence of disease or other health-related variables are determined in each member of a population at one particular time. 

Levels of Evidence Pyramid

Levels of Evidence Pyramid created by Andy Puro, September 2014

Experimental vs. Observational Studies

An observational study is a study in which the investigator cannot control the assignment of treatment to subjects because the participants or conditions are not being directly assigned by the researcher.

• Examines predetermined treatments, interventions, policies, and their effects
• Four main types: case-series , case-control , cross-sectional , and cohort studies

In an experimental study , the investigators directly manipulate or assign participants to different interventions or environments.

• Controlled trials - studies in which the experimental drug or procedure is compared with another drug or procedure
• Uncontrolled trials - studies in which the investigators' experience with the experimental drug or procedure is described, but the treatment is not compared with another treatment

Formal Trials versus Observational Studies (Ravi Thadhani, Harvard Medical School)

Study Designs (Centre for Evidence Based Medicine, University of Oxford)

Learn about Clinical Studies (ClinicalTrials.gov, National Institutes of Health)

Definitions taken from: Dawson B, Trapp R.G. (2004). Chapter 2. Study Designs in Medical Research. In Dawson B, Trapp R.G. (Eds), Basic & Clinical Biostatistics, 4e Retrieved September 15, 2014 from http://accessmedicine.mhmedical.com/content.aspx?bookid=356&Sectionid=40086281.

• << Previous: Test/Survey/Measurement Tools
• Next: Statistics >>

• Last Updated: Apr 8, 2024 10:53 AM
• URL: https://guides.himmelfarb.gwu.edu/PhD

• Himmelfarb Intranet
• Privacy Notice
• Terms of Use
• GW is committed to digital accessibility. If you experience a barrier that affects your ability to access content on this page, let us know via the Accessibility Feedback Form .
• Himmelfarb Health Sciences Library
• 2300 Eye St., NW, Washington, DC 20037
• Phone: (202) 994-2850
• [email protected]
• https://himmelfarb.gwu.edu

How To Choose Your Research Methodology

Qualitative vs quantitative vs mixed methods.

By: Derek Jansen (MBA). Expert Reviewed By: Dr Eunice Rautenbach | June 2021

Without a doubt, one of the most common questions we receive at Grad Coach is “ How do I choose the right methodology for my research? ”. It’s easy to see why – with so many options on the research design table, it’s easy to get intimidated, especially with all the complex lingo!

In this post, we’ll explain the three overarching types of research – qualitative, quantitative and mixed methods – and how you can go about choosing the best methodological approach for your research.

Overview: Choosing Your Methodology

Understanding the options – Qualitative research – Quantitative research – Mixed methods-based research

Choosing a research methodology – Nature of the research – Research area norms – Practicalities

1. Understanding the options

Before we jump into the question of how to choose a research methodology, it’s useful to take a step back to understand the three overarching types of research – qualitative , quantitative and mixed methods -based research. Each of these options takes a different methodological approach.

Qualitative research utilises data that is not numbers-based. In other words, qualitative research focuses on words , descriptions , concepts or ideas – while quantitative research makes use of numbers and statistics. Qualitative research investigates the “softer side” of things to explore and describe, while quantitative research focuses on the “hard numbers”, to measure differences between variables and the relationships between them.

Importantly, qualitative research methods are typically used to explore and gain a deeper understanding of the complexity of a situation – to draw a rich picture . In contrast to this, quantitative methods are usually used to confirm or test hypotheses . In other words, they have distinctly different purposes. The table below highlights a few of the key differences between qualitative and quantitative research – you can learn more about the differences here.

• Uses an inductive approach
• Is used to build theories
• Takes a subjective approach
• Adopts an open and flexible approach
• The researcher is close to the respondents
• Interviews and focus groups are oftentimes used to collect word-based data.
• Generally, draws on small sample sizes
• Uses qualitative data analysis techniques (e.g. content analysis , thematic analysis , etc)
• Uses a deductive approach
• Is used to test theories
• Takes an objective approach
• Adopts a closed, highly planned approach
• The research is disconnected from respondents
• Surveys or laboratory equipment are often used to collect number-based data.
• Generally, requires large sample sizes
• Uses statistical analysis techniques to make sense of the data

Mixed methods -based research, as you’d expect, attempts to bring these two types of research together, drawing on both qualitative and quantitative data. Quite often, mixed methods-based studies will use qualitative research to explore a situation and develop a potential model of understanding (this is called a conceptual framework), and then go on to use quantitative methods to test that model empirically.

In other words, while qualitative and quantitative methods (and the philosophies that underpin them) are completely different, they are not at odds with each other. It’s not a competition of qualitative vs quantitative. On the contrary, they can be used together to develop a high-quality piece of research. Of course, this is easier said than done, so we usually recommend that first-time researchers stick to a single approach , unless the nature of their study truly warrants a mixed-methods approach.

The key takeaway here, and the reason we started by looking at the three options, is that it’s important to understand that each methodological approach has a different purpose – for example, to explore and understand situations (qualitative), to test and measure (quantitative) or to do both. They’re not simply alternative tools for the same job. 

Right – now that we’ve got that out of the way, let’s look at how you can go about choosing the right methodology for your research.

2. How to choose a research methodology

To choose the right research methodology for your dissertation or thesis, you need to consider three important factors . Based on these three factors, you can decide on your overarching approach – qualitative, quantitative or mixed methods. Once you’ve made that decision, you can flesh out the finer details of your methodology, such as the sampling , data collection methods and analysis techniques (we discuss these separately in other posts ).

The three factors you need to consider are:

• The nature of your research aims, objectives and research questions
• The methodological approaches taken in the existing literature
• Practicalities and constraints

Let’s take a look at each of these.

Factor #1: The nature of your research

As I mentioned earlier, each type of research (and therefore, research methodology), whether qualitative, quantitative or mixed, has a different purpose and helps solve a different type of question. So, it’s logical that the key deciding factor in terms of which research methodology you adopt is the nature of your research aims, objectives and research questions .

But, what types of research exist?

Broadly speaking, research can fall into one of three categories:

• Exploratory – getting a better understanding of an issue and potentially developing a theory regarding it
• Confirmatory – confirming a potential theory or hypothesis by testing it empirically
• A mix of both – building a potential theory or hypothesis and then testing it

As a rule of thumb, exploratory research tends to adopt a qualitative approach , whereas confirmatory research tends to use quantitative methods . This isn’t set in stone, but it’s a very useful heuristic. Naturally then, research that combines a mix of both, or is seeking to develop a theory from the ground up and then test that theory, would utilize a mixed-methods approach.

Let’s look at an example in action.

If your research aims were to understand the perspectives of war veterans regarding certain political matters, you’d likely adopt a qualitative methodology, making use of interviews to collect data and one or more qualitative data analysis methods to make sense of the data.

If, on the other hand, your research aims involved testing a set of hypotheses regarding the link between political leaning and income levels, you’d likely adopt a quantitative methodology, using numbers-based data from a survey to measure the links between variables and/or constructs .

So, the first (and most important thing) thing you need to consider when deciding which methodological approach to use for your research project is the nature of your research aims , objectives and research questions. Specifically, you need to assess whether your research leans in an exploratory or confirmatory direction or involves a mix of both.

The importance of achieving solid alignment between these three factors and your methodology can’t be overstated. If they’re misaligned, you’re going to be forcing a square peg into a round hole. In other words, you’ll be using the wrong tool for the job, and your research will become a disjointed mess.

If your research is a mix of both exploratory and confirmatory, but you have a tight word count limit, you may need to consider trimming down the scope a little and focusing on one or the other. One methodology executed well has a far better chance of earning marks than a poorly executed mixed methods approach. So, don’t try to be a hero, unless there is a very strong underpinning logic.

Need a helping hand?

Factor #2: The disciplinary norms

Choosing the right methodology for your research also involves looking at the approaches used by other researchers in the field, and studies with similar research aims and objectives to yours. Oftentimes, within a discipline, there is a common methodological approach (or set of approaches) used in studies. While this doesn’t mean you should follow the herd “just because”, you should at least consider these approaches and evaluate their merit within your context.

A major benefit of reviewing the research methodologies used by similar studies in your field is that you can often piggyback on the data collection techniques that other (more experienced) researchers have developed. For example, if you’re undertaking a quantitative study, you can often find tried and tested survey scales with high Cronbach’s alphas. These are usually included in the appendices of journal articles, so you don’t even have to contact the original authors. By using these, you’ll save a lot of time and ensure that your study stands on the proverbial “shoulders of giants” by using high-quality measurement instruments .

Of course, when reviewing existing literature, keep point #1 front of mind. In other words, your methodology needs to align with your research aims, objectives and questions. Don’t fall into the trap of adopting the methodological “norm” of other studies just because it’s popular. Only adopt that which is relevant to your research.

Factor #3: Practicalities

When choosing a research methodology, there will always be a tension between doing what’s theoretically best (i.e., the most scientifically rigorous research design ) and doing what’s practical , given your constraints . This is the nature of doing research and there are always trade-offs, as with anything else.

But what constraints, you ask?

When you’re evaluating your methodological options, you need to consider the following constraints:

• Data access
• Equipment and software
• Your knowledge and skills

Let’s look at each of these.

Constraint #1: Data access

The first practical constraint you need to consider is your access to data . If you’re going to be undertaking primary research , you need to think critically about the sample of respondents you realistically have access to. For example, if you plan to use in-person interviews , you need to ask yourself how many people you’ll need to interview, whether they’ll be agreeable to being interviewed, where they’re located, and so on.

If you’re wanting to undertake a quantitative approach using surveys to collect data, you’ll need to consider how many responses you’ll require to achieve statistically significant results. For many statistical tests, a sample of a few hundred respondents is typically needed to develop convincing conclusions.

So, think carefully about what data you’ll need access to, how much data you’ll need and how you’ll collect it. The last thing you want is to spend a huge amount of time on your research only to find that you can’t get access to the required data.

Constraint #2: Time

The next constraint is time. If you’re undertaking research as part of a PhD, you may have a fairly open-ended time limit, but this is unlikely to be the case for undergrad and Masters-level projects. So, pay attention to your timeline, as the data collection and analysis components of different methodologies have a major impact on time requirements . Also, keep in mind that these stages of the research often take a lot longer than originally anticipated.

Another practical implication of time limits is that it will directly impact which time horizon you can use – i.e. longitudinal vs cross-sectional . For example, if you’ve got a 6-month limit for your entire research project, it’s quite unlikely that you’ll be able to adopt a longitudinal time horizon. 

Constraint #3: Money

As with so many things, money is another important constraint you’ll need to consider when deciding on your research methodology. While some research designs will cost near zero to execute, others may require a substantial budget .

Some of the costs that may arise include:

• Software costs – e.g. survey hosting services, analysis software, etc.
• Promotion costs – e.g. advertising a survey to attract respondents
• Incentive costs – e.g. providing a prize or cash payment incentive to attract respondents
• Equipment rental costs – e.g. recording equipment, lab equipment, etc.
• Travel costs
• Food & beverages

These are just a handful of costs that can creep into your research budget. Like most projects, the actual costs tend to be higher than the estimates, so be sure to err on the conservative side and expect the unexpected. It’s critically important that you’re honest with yourself about these costs, or you could end up getting stuck midway through your project because you’ve run out of money.

Constraint #4: Equipment & software

Another practical consideration is the hardware and/or software you’ll need in order to undertake your research. Of course, this variable will depend on the type of data you’re collecting and analysing. For example, you may need lab equipment to analyse substances, or you may need specific analysis software to analyse statistical data. So, be sure to think about what hardware and/or software you’ll need for each potential methodological approach, and whether you have access to these.

Constraint #5: Your knowledge and skillset

The final practical constraint is a big one. Naturally, the research process involves a lot of learning and development along the way, so you will accrue knowledge and skills as you progress. However, when considering your methodological options, you should still consider your current position on the ladder.

Some of the questions you should ask yourself are:

• Am I more of a “numbers person” or a “words person”?
• How much do I know about the analysis methods I’ll potentially use (e.g. statistical analysis)?
• How much do I know about the software and/or hardware that I’ll potentially use?
• How excited am I to learn new research skills and gain new knowledge?
• How much time do I have to learn the things I need to learn?

Answering these questions honestly will provide you with another set of criteria against which you can evaluate the research methodology options you’ve shortlisted.

So, as you can see, there is a wide range of practicalities and constraints that you need to take into account when you’re deciding on a research methodology. These practicalities create a tension between the “ideal” methodology and the methodology that you can realistically pull off. This is perfectly normal, and it’s your job to find the option that presents the best set of trade-offs.

Recap: Choosing a methodology

In this post, we’ve discussed how to go about choosing a research methodology. The three major deciding factors we looked at were:

• Exploratory
• Confirmatory
• Combination
• Research area norms
• Hardware and software
• Your knowledge and skillset

If you have any questions, feel free to leave a comment below. If you’d like a helping hand with your research methodology, check out our 1-on-1 research coaching service , or book a free consultation with a friendly Grad Coach.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

You Might Also Like:

Very useful and informative especially for beginners

Nice article! I’m a beginner in the field of cybersecurity research. I am a Telecom and Network Engineer and Also aiming for PhD scholarship.

I find the article very informative especially for my decitation it has been helpful and an eye opener.

Hi I am Anna ,

I am a PHD candidate in the area of cyber security, maybe we can link up

The Examples shows by you, for sure they are really direct me and others to knows and practices the Research Design and prepration.

I found the post very informative and practical.

I struggle so much with designs of the research for sure!

I’m the process of constructing my research design and I want to know if the data analysis I plan to present in my thesis defense proposal possibly change especially after I gathered the data already.

Thank you so much this site is such a life saver. How I wish 1-1 coaching is available in our country but sadly it’s not.

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Print Friendly

What is a PhD?

• Types of Doctorates
• A Doctor of Philosophy (PhD) is the highest globally recognized postgraduate degree that higher education institutions can award.
• PhDs are awarded to candidates who undertake original and extensive research in a particular field of study.
• Full time PhD programmes typically last three to four years, whilst part time PhD programmes typically last six to seven years.
• A PhD can lead to an academia teaching role or a career in research. A PhD can also equip you with skills suitable for a wide range of jobs unrelated to your research topic or academia.

Definition of a PhD – A Doctor of Philosophy (commonly abbreviated to PhD , Ph.D or a DPhil ) is a university research degree awarded from across a broad range of academic disciplines; in most countries, it is a terminal degree, i.e. the highest academic degree possible.

PhDs differ from undergraduate and master’s degrees in that PhDs are entirely research-based rather than involving taught modules (although doctoral training centres (DTCs) offer programmes that start with a year of lecture-based teaching to help develop your research skills prior to starting your project).

In most English-speaking countries, those that complete a PhD use the title “Doctor” (typically abbreviated to Dr) in front of their names and are referred to as such within academic and/or research settings. Those that work in fields outside of academia may decide not to use the formal doctor title but use post-nominal letters (e.g. John Smith PhD); it’s unusual though for someone to use both the Doctor title and post-nominal letters in their name.

PhD vs Doctorate

A PhD and a professional doctorate are both research-based terminal degrees.

However, where a PhD focuses on original research mostly around theoretical concepts, a professional doctorate focuses on examining existing knowledge to solve real-life, practical problems.

While there is much crossover between the two, a PhD is generally better suited for an individual to wants to advance the knowledge and understanding in their field, and a professional doctorate degree is better suited to a working professional who wants to better be able to apply knowledge and understanding to their field.

What Are the Entry Requirements for a PhD?

To be accepted on to a PhD programme, students usually need to hold at least a high ( 2:1 and above ) undergraduate degree that is related to the field of research that they want to pursue. A PhD candidate may also be expected to hold a Master’s degree , however, this does not mean you must have one, as it is still possible to enrol into a PhD without a Master’s .

Self-funded courses may sometimes be more relaxed in relation to entry requirements. It may be possible to be accepted onto a self-funded PhD programme with lower grades, though these students typically demonstrate their suitability for the role through professional work experience.

Whilst a distance learning project is possible , most PhD candidates will carry out their research over at least three years based at their university, with regular contact with two academic supervisors (primary and secondary). This is particularly the case for lab-based projects, however, some PhD projects require spending time on-site away from university (e.g. at a specialist research lab or at a collaborating institution abroad).

How Long Does a PhD Take?

Typically, full-time PhDs last 3-4 years and part-time PhDs last 6-7 years. However, at the discretion of the university, the thesis writing-up period can be extended by up to four years.

Although most doctoral programmes start in September or October, they are generally much more flexible than taught-courses and can start at any time of the year.

How Much Does a PhD Cost?

Tuition fees for UK and EU students vary between £3,000 and £6,000 per year, with the average tuition fee of £4,712 per year for 2023/24 programmes.

Tuition fees increase considerably for international students, varying between £16,000 to £25,000 per year, with an average tuition fee of £19,600 per year .

Nonetheless, most students will secure PhD funding in the form of studentships, scholarships and bursaries to help pay for these fees. These funding opportunities can either be partial, which cover tuition fees only, or full, which cover both tuition fees and living expenses.

UK national students can also apply for Doctoral Loans from Student Finance England if they are unable to secure funding.

Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.

What Does a PhD Involve?

To be awarded a PhD, a doctoral student is required to produce a substantial body of work that adds new knowledge to their chosen field.

A PhD programme will typically involve four key stages:

Stage 1: Literature Review

The first year of a PhD involves attending regular meetings with your supervisors and carrying out a search on previously published work in your subject area. This search will be used to produce a literature review which should set the context of the project by explaining the foundation of what is currently known within the field of research, what recent developments have occurred, and where the gaps in knowledge are. In most cases, this will be an extension of your research proposal should you have produced one as part of your application. The literature review should conclude by outlining the overarching aims and objectives of the research project. This stage of setting achievable goals which are original and contribute to the field of research is an essential first step in a successful PhD.

The supervisor is the main point of contact through the duration of a PhD – but remember: they are there to mentor, not to teach, or do it for you . It will be your responsibility to plan, execute and monitor your own work as well as to identify gaps in your own knowledge and address them.

Stage 2: Research

The second year (and prehapse some of your third year) is when you work on your research. Having identified novel research questions from your review of the literature, this is where you collect your data to help answer these questions. How you do this will depend on the nature of your doctoral research: for example, you may design and run experiments in a lab alongside other PhD students or visit excavation sites in remote regions of the world. You should check in regularly with your supervisors to update them and run any ideas or issues past them.

Have the structure and chapters of your thesis in mind as you develop and tackle your research questions. Working with a view of publishing your work will be very valuable later on.

Stage 3: Write up of Thesis

The next key stage of a PhD is writing a doctoral thesis , which typically takes from anywhere between three months to one year. A thesis is a substantial body of work that describes the work and outcomes of the research over the previous two to three years. It should tell a detailed story of the PhD project – focusing on:

• The motivations for the research questions identified from the literature review.
• The methodologies used, results obtained, and a comprehensive analysis and discussion of the findings.
• A detailed discussion of the key findings with an emphasis on the original contributions made to your field of research and how this has been impactful.

There is no universal rule for the length of a PhD thesis, but general guidelines set the word count between 80,000 to 100,000 words.

For your thesis to be successful, it needs to adequately defend your argument and provide a unique or increased insight into your field that was not previously available.

Stage 4: Attending the Viva

A viva voce , most commonly referred to as just a ‘ viva ‘, is an interview-style examination where the PhD student is required to engage in a critical appraisal of their work and defend their thesis against at least two examiners. The examiners will ask questions to check the PhD student has an in-depth understanding of the ideas and theories proposed in their thesis, and whether they have developed the research skills that would be expected of them.

The viva is one of the final steps in achieving a PhD, and typically lasts at least two hours, but this duration can vary depending on the examiners, the university and the PhD project itself.

Once you have done the viva – you’re on the home stretch. You will typically be asked to make some amendments to your thesis based on the examiner’s feedback. You are then ready to submit your final thesis for either:

• PhD – If you pass the requirements you will be awarded a PhD degree (most common outcome),
• MPhil – If you failed to meet requirements for a PhD, you may be downgraded to an MPhil degree (uncommon outcome),
• Fail – No award is given, typically for cases of plagiarism (extremely uncommon outcome).

What Is It Like to Undertake a PhD?

We’re often asked what it is like to undertake a PhD study. Unfortunately, this isn’t a simple answer to this question as every research project is different.

To help give insight into the life of a PhD student, we’ve interviewed PhD students at various stages of their programmes and put together a series of PhD Student Interviews . Check out the link to find out what a PhD is like and what advice they have to offer you.

What Are the Benefits of A PhD?

A PhD is the highest globally recognised postgraduate degree that higher education institutions can award. The degree, which is awarded to candidates who demonstrate original and independent research in a particular field of study, is not only invaluable in itself, but sets you up with invaluable skills and traits.

Career Opportunities

First, a PhD prepares you for a career in academia if you wish to continue in this area. This takes form as a career in the Higher Education sector, typically as a lecturer working their way to becoming a professor leading research on the subject you’ve studied and trained in.

Second, a PhD also enables the opportunity for landing a job in a research & development role outside of the academic environment. Examples of this include laboratory work for a private or third sector company, a governmental role and research for commercial and industrial applications.

Transferable Skills

Finally, in possessing a PhD degree, you can show to employers that you have vital skills that make you an asset to any company. Three examples of the transferable skills that you gain through a PhD are effective communication, time management, and report writing.

• Communication – presenting your work in written and oral forms using journal papers and podium presentations, shows your ability to share complex ideas effectively and to those with less background knowledge than you. Communication is key in the professional environment, regardless of the job.
• Time management – The ability to prioritise and organise tasks is a tremendous asset in the professional industry. A PhD holder can use their qualification to demonstrate that they are able to manage their time, arrange and follow a plan, and stick to deadlines.
• Report writing – Condensing three years of work into a thesis demonstrates your ability to filter through massive amounts of information, identify the key points, and get these points across to the reader. The ability to ‘cut out the waffle’ or ‘get to the point’ is a huge asset in the professional industry.

Aside from the above, you also get to refer to yourself as a Doctor and add fancy initials after your name!

What Can I Do After a PhD?

One of the most desirable postdoctoral fields is working within independent Research and Development (R&D) labs and new emerging companies. Both industries, especially R&D labs, have dedicated groups of PhD graduates who lead research activities, design new products and take part in crucial strategic meetings. Not only is this a stimulating line of work, but the average salaries in R&D labs and emerging start-ups are lucrative. In comparison, an undergraduate with five years of experience within their given field will, on average, likely earn less than a new PhD graduate taking on a R&D position.

It’s a common misunderstanding that PhDs only opens the door for an academic career such as university lecturers and training providers. Although obtaining a PhD opens these doors, the opportunities extend far beyond educational roles. In fact, recent data from the UK’s Higher Education Statistics Agency (HESA) indicates only 23% of PhD graduates take a position in educational roles . This low percentage is primarily because PhD graduates have a wide range of skills that make them suitable for a broad spectrum of roles. This is being seen first hand by the increasing number of PhD graduates who are entering alternative roles such as research, writing, law and investment banking.

How Do I Find a PhD?

We appreciate that finding a PhD programme to undertake can be a relatively daunting process. According to Higher Education Student Statistics , over 22,000 PhDs were awarded in 2016/17 within the United Kingdom alone. Clearly there are a huge number of PhD programmes available. This can sometimes be confusing for prospective doctorates, particularly when different programmes are advertised in different places. Often, it is difficult to know where to look or where to even start. We’ve put together a list of useful sources to find the latest PhD programmes:

• A great place to start is with our comprehensive and up-to-date database of available PhD positions .
• Assuming you are still at university, speak to an existing PhD supervisor within your department.
• Attend as many postgraduate open days as you can. Whilst there, speak to current PhD students and career advisors to get an awareness of what PhDs are on offer.
• Visit the postgraduate section of university websites and the PhD Research Council section of the UKRI website.

Browse PhDs Now

Join thousands of students.

Join thousands of other students and stay up to date with the latest PhD programmes, funding opportunities and advice.

• 1-888-SNU-GRAD
• Daytime Classes

The Top 3 Types of Dissertation Research Explained

Preparing for your doctoral dissertation takes serious perseverance. You’ve endured years of studies and professional development to get to this point. After sleepless nights and labor-intensive research, you’re ready to present the culmination of all of your hard work. Even with a strong base knowledge, it can be difficult — even daunting — to decide how you will begin writing.

By taking a wide-lens view of the dissertation research process , you can best assess the work you have ahead of you and any gaps in your current research strategy. Subsequently, you’ll begin to develop a timeline so you can work efficiently and cross that finish line with your degree in hand.

What Is a Dissertation?

A dissertation is a published piece of research on a novel topic in your chosen field. Students complete a dissertation as part of a doctoral or PhD program. For most students, a dissertation is the first substantive piece of academic research they will write. 

Because a dissertation becomes a published piece of academic literature that other academics may cite, students must defend it in front of a board of experts consisting of peers in their field, including professors, their advisor, and other industry experts. 

For many students, a dissertation is the first piece of research in a long career full of research. As such, it’s important to choose a topic that’s interesting and engaging.

Types of Dissertation Research

Dissertations can take on many forms, based on research and methods of presentation in front of a committee board of academics and experts in the field. Here, we’ll focus on the three main types of dissertation research to get you one step closer to earning your doctoral degree.

1. Qualitative

The first type of dissertation is known as a qualitative dissertation . A qualitative dissertation mirrors the qualitative research that a doctoral candidate would conduct throughout their studies. This type of research relies on non-numbers-based data collected through things like interviews, focus groups and participant observation. 

The decision to model your dissertation research according to the qualitative method will depend largely on the data itself that you are collecting. For example, dissertation research in the field of education or psychology may lend itself to a qualitative approach, depending on the essence of research. Within a qualitative dissertation research model, a candidate may pursue one or more of the following:

• Case study research
• Autoethnographies
• Narrative research 
• Grounded theory 

Although individual approaches may vary, qualitative dissertations usually include certain foundational characteristics. For example, the type of research conducted to develop a qualitative dissertation often follows an emergent design, meaning that the content and research strategy changes over time. Candidates also rely on research paradigms to further strategize how best to collect and relay their findings. These include critical theory, constructivism and interpretivism, to name a few. 

Because qualitative researchers integrate non-numerical data, their methods of collection often include unstructured interview, focus groups and participant observations. Of course, researchers still need rubrics from which to assess the quality of their findings, even though they won’t be numbers-based. To do so, they subject the data collected to the following criteria: dependability, transferability and validity. 

When it comes time to present their findings, doctoral candidates who produce qualitative dissertation research have several options. Some choose to include case studies, personal findings, narratives, observations and abstracts. Their presentation focuses on theoretical insights based on relevant data points. 

2. Quantitative

Quantitative dissertation research, on the other hand, focuses on the numbers. Candidates employ quantitative research methods to aggregate data that can be easily categorized and analyzed. In addition to traditional statistical analysis, quantitative research also hones specific research strategy based on the type of research questions. Quantitative candidates may also employ theory-driven research, replication-based studies and data-driven dissertations. 

When conducting research, some candidates who rely on quantitative measures focus their work on testing existing theories, while others create an original approach. To refine their approach, quantitative researchers focus on positivist or post-positivist research paradigms. Quantitative research designs focus on descriptive, experimental or relationship-based designs, to name a few. 

To collect the data itself, researchers focus on questionnaires and surveys, structured interviews and observations, data sets and laboratory-based methods. Then, once it’s time to assess the quality of the data, quantitative researchers measure their results against a set of criteria, including: reliability, internal/external validity and construct validity. Quantitative researchers have options when presenting their findings. Candidates convey their results using graphs, data, tables and analytical statements.

3. Mixed-Method

Many PhD candidates also use a hybrid model in which they employ both qualitative and quantitative methods of research. Mixed dissertation research models are fairly new and gaining traction. For a variety of reasons, a mixed-method approach offers candidates both versatility and credibility. It’s a more comprehensive strategy that allows for a wider capture of data with a wide range of presentation optimization. 

In the most common cases, candidates will first use quantitative methods to collect and categorize their data. Then, they’ll rely on qualitative methods to analyze that data and draw meaningful conclusions to relay to their committee panel. 

With a mixed-method approach, although you’re able to collect and analyze a more broad range of data, you run the risk of widening the scope of your dissertation research so much that you’re not able to reach succinct, sustainable conclusions. This is where it becomes critical to outline your research goals and strategy early on in the dissertation process so that the techniques you use to capture data have been thoroughly examined. 

How to Choose a Type of Dissertation Research That’s Right for You

After this overview of application and function, you may still be wondering how to go about choosing a dissertation type that’s right for you and your research proposition. In doing so, you’ll have a couple of things to consider: 

• What are your personal motivations? 
• What are your academic goals? 

It’s important to discern exactly what you hope to get out of your doctoral program . Of course, the presentation of your dissertation is, formally speaking, the pinnacle of your research. However, doctoral candidates must also consider:

• Which contributions they will make to the field
• Who they hope to collaborate with throughout their studies
• What they hope to take away from the experience personally, professionally and academically

Personal Considerations

To discern which type of dissertation research to choose, you have to take a closer look at your learning style, work ethic and even your personality. 

Quantitative research tends to be sequential and patterned-oriented. Steps move in a logical order, so it becomes clear what the next step should be at all times. For most candidates, this makes it easier to devise a timeline and stay on track. It also keeps you from getting overwhelmed by the magnitude of research involved. You’ll be able to assess your progress and make simple adjustments to stay on target. 

On the other hand, maybe you know that your research will involve many interviews and focus groups. You anticipate that you’ll have to coordinate participants’ schedules, and this will require some flexibility. Instead of creating a rigid schedule from the get-go, allowing your research to flow in a non-linear fashion may actually help you accomplish tasks more efficiently, albeit out of order. This also allows you the personal versatility of rerouting research strategy as you collect new data that leads you down other paths. 

After examining the research you need to conduct, consider more broadly: What type of student and researcher are you? In other words, What motivates you to do your best work? 

You’ll need to make sure that your methodology is conducive to the data you’re collecting, and you also need to make sure that it aligns with your work ethic so you set yourself up for success. If jumping from one task to another will cause you extra stress, but planning ahead puts you at ease, a quantitative research method may be best, assuming the type of research allows for this. 

Professional Considerations

The skills you master while working on your dissertation will serve you well beyond the day you earn your degree. Take into account the skills you’d like to develop for your academic and professional future. In addition to the hard skills you will develop in your area of expertise, you’ll also develop soft skills that are transferable to nearly any professional or academic setting. Perhaps you want to hone your ability to strategize a timeline, gather data efficiently or draw clear conclusions about the significance of your data collection. 

If you have considerable experience with quantitative analysis, but lack an extensive qualitative research portfolio, now may be your opportunity to explore — as long as you’re willing to put in the legwork to refine your skills or work closely with your mentor to develop a strategy together. 

Academic Considerations

For many doctoral candidates who hope to pursue a professional career in the world of academia, writing your dissertation is a practice in developing general research strategies that can be applied to any academic project. 

Candidates who are unsure which dissertation type best suits their research should consider whether they will take a philosophical or theoretical approach or come up with a thesis that addresses a specific problem or idea. Narrowing down this approach can sometimes happen even before the research begins. Other times, candidates begin to refine their methods once the data begins to tell a more concrete story.

Next Step: Structuring Your Dissertation Research Schedule

Once you’ve chosen which type of dissertation research you’ll pursue, you’ve already crossed the first hurdle. The next hurdle becomes when and where to fit dedicated research time and visits with your mentor into your schedule. The busyness of day-to-day life shouldn’t prevent you from making your academic dream a reality. In fact, search for programs that assist, not impede, your path to higher levels of academic success. 

Find out more about SNU’s online and on-campus education opportunities so that no matter where you are in life, you can choose the path that’s right for you.

Want to learn more about SNU's programs?

Request more information.

Have questions about SNU, our program, or how we can help you succeed. Fill out the form and an enrollment counselor will reach out to you soon!

Subscribe to the SNU blog for inspirational articles and tips to support you on your journey back to school.

Recent blog articles.

Adult Education

Q & A: Exploring SNU’s Bachelor of Arts in Education Program

A Mother’s Reflections from the Side of the Road: Strategies to Become Unstoppable

Professional and Graduate Studies Graduates Inspire Future Generations

Physician Assistant Program on Track for January 2025 Start Date

Have questions about SNU or need help determining which program is the right fit? Fill out the form and an enrollment counselor will follow-up to answer your questions!

Text With an Enrollment Counselor

Have questions, but want a faster response?  Fill out the form and one of our enrollment counselors will follow-up via text shortly!

PhD Assistance

15 kinds of research methodologies for phd. pupils, basic research.

Pure research or fundamental research or basic research zooms on enhancing scientific knowledge for the exhaustive understanding of a topic or certain natural phenomena, essentially in natural sciences; knowledge that is obtained for the purpose of knowledge it is called fundamental research.

1.Applied research

Research that covers real life applications of the natural sciences; aimed at offering an answer to particular practical issues and develops novel technologies

2.Fixed research versus flexible research

In fixed research, the design of the study is fixed prior to the main phase of data gathering; moreover, fixed designs are essentially theoretical. Variables that need to be controlled and measured need to be known in advance and they are measured quantitatively.

3.Quantitative research and qualitative research

Quantitative research denotes gauging phenomena in various grades; on the other hand, qualitative research sometimes deems Boolean measurements alone; solution can be studied qualitatively for its appropriateness. However, comparison between candidate solutions requires quantitative observation.

4.Experimental research and non-experimental research

In an experimental design , operationalize the variables to be measured; moreover, operationalize in the best manner. Consider the study expectations, outcome measurement, variable measurement, and the methods to answer research questions.

Think of the practical limitations such as the availability of data-sets and experimental set-ups that represent actual scenarios.

5.Exploratory research and confirmatory research

Confirmatory research tests a priori hypotheses—outcome predictions done prior to the measurement stage. Such a priori hypotheses are usually derived from a theory or the results of previous studies.

Exploratory research generates a posteriori hypotheses by investigating a data-set and ascertaining potential connection between variables.

6.Explanatory research or casual research

Causal research is also called explanatory research ; conducted to ascertain the extent and type of cause-effect relationships. Causal research are conducted to evaluate effects of specific changes on existing norms, various processes etc.

7.Descriptive research

Descriptive research is the available statement of affairs; researcher has no control over variable. Descriptive studies are characterised as simply an effort to ascertain, define or recognize.  Not “why it is that way” nor “how it came to be,” which is the objective of analytical research.

8.Historical research

Historical research explores and explains the meanings, phases and traits of a phenomena or process at a certain phase of time in the past; historical research is a research strategy from the research of history.

9.Casual comparative research

Also called as “ex-post facto” research (In Latin, implies “after the fact”); researchers determine the causes or consequences of differences that already exist between or among groups of individuals.

An effort to ascertain a causative relationship between an independent variable and a dependent variable; relationship between the independent variable and dependent variable are usually a suggested relationship (not proved yet) because you do not have complete control over the independent variable

10.Correlational research

Correlational research is a form of non-experimental research technique wherein a researcher measures 2 variables and assesses the statistical connection between them with no influence from any external variable.

The correlation between two variables is given through correlation coefficient, which is a statistical measure that calculates the strength of the relationship between two variables that is a value measured between -1 and +1.

11.Evaluation research method

Evaluation research technique is known as program evaluation and refers to a research purpose instead of a particular technique; objective is to assess the effect of social involvements such as new treatment techniques, innovations in services, etc.

A form of applied research to have some real-world effect. Methods such as surveys and experiments are used in evaluation research.

12.Formative and summative evaluation

While learning is in progress, formative assessment offers feedback and information; measures participant’s progress and also assess researcher’s own progress as well.

For example, when implementing a new program, you can determine whether or not the activity should be used again (or modified) with the help of observation and/or surveying.

Summative assessment happens after the learning has ended and offers info and feedback to sum up the process; essentially, no formal learning is happening at this phase other than incidental learning which might take place through the completion of program.

13.Diagnostic research

Descriptive research studies define the characteristics of a particular individual, or of a group.

Studies showing whether certain variables are linked are examples of diagnostic research.

Researcher defines what he or she wants to measure and finds adequate methods for measuring it along with a clear description of ‘population’.

Aim is to obtain complete and accurate information. And the researcher plans the procedure carefully.

14.Prognostic research

Prognostic research (specifically in clinical research) examines chosen predictive variables and risk factors; prognostic research assesses influence on the outcome of a disease. Clinicians have a better understanding of the history of the ailment.

This understanding facilitates clinical decision-making via providing apt treatment alternatives and helps to predict accurate disease outcomes.

Assessing prognostic studies involves ascertaining the internal validity of the study design and assessing the effects of bias or systemic errors.

15.Action research

A systematic inquiry for improving and/or honing researchers’ actions. Researchers find it an empowering experience.

Action research has positive result for various reasons; most important is that action research is pertinent to the research participants.

Relevance is assured because the aim of each research project is ascertained by the researchers, who are also the main beneficiaries of the research observations.

Related Topics

Essay Writting Services

Research methods

Primary research methods

methodology example

Secondary research methods

Primary and secondary research

Academic Research

scholarly research

• 15 purposes of research
• 15 types of research
• example of phd research methodology
• methodology in phd
• methodology in phd research
• methodology phd
• phd in research methodology
• phd methodology
• PhD Research Methodology
• Phd Research Methods
• PhD Research Process
• phd types of research
• research methodology for phd
• Research Methodology for PhD Thesis
• research methodology in phd
• research methodology phd
• research methods for phd
• research methods phd
• types of phd research
• types of research
• types of research in research methodology
• types of research methodology
• types of research methods

Quick Contact

• Adversial Attacks
• Artificial Intelligence
• Artificial Intelligence (AI) and ML ( Machine Learning )
• Big Data Analysis
• Business and Management
• Categories of Research methodology – PhDAssistance
• Category of Research Proposal Services
• coding & algorithm
• Computer Data Science
• Category of Machine Learning – PhDassistance
• Computer Science/Research writing/Manuscript
• Course Work Service
• Data Analytics
• Data Processing
• Deep Networks
• Dissertation Statistics
• economics dissertation
• Editing Services
• Electrical Engineering Category
• Engineering & Technology
• finance dissertation writing
• Gap Identification
• Healthcare Dissertation Writing
• Intrusion-detection-system
• journals publishing
• Life Science Dissertation writing services
• literature review service
• Machine Learning
• medical thesis writing
• Peer review
• PhD Computer Programming
• PhD Dissertation
• Phd Journal Manuscript
• Annotated Bibliography
• PhD Publication Support
• Phd thesis writing services
• Phd Topic Selection
• Categories of PhdAssistance Dissertation
• Power Safety
• problem identification
• Quantitative Analysis
• quantitative research
• Recent Trends
• Referencing and Formatting
• Research Gap
• research journals
• Research Methodology
• research paper
• Research Proposal Service
• secondary Data collection
• Statistical Consulting Services
• Uncategorized

15 Types of Research Methods

Research methods refer to the strategies, tools, and techniques used to gather and analyze data in a structured way in order to answer a research question or investigate a hypothesis (Hammond & Wellington, 2020).

Generally, we place research methods into two categories: quantitative and qualitative. Each has its own strengths and weaknesses, which we can summarize as:

• Quantitative research can achieve generalizability through scrupulous statistical analysis applied to large sample sizes.
• Qualitative research achieves deep, detailed, and nuance accounts of specific case studies, which are not generalizable.

Some researchers, with the aim of making the most of both quantitative and qualitative research, employ mixed methods, whereby they will apply both types of research methods in the one study, such as by conducting a statistical survey alongside in-depth interviews to add context to the quantitative findings.

Below, I’ll outline 15 common research methods, and include pros, cons, and examples of each .

Types of Research Methods

Research methods can be broadly categorized into two types: quantitative and qualitative.

• Quantitative methods involve systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques, providing an in-depth understanding of a specific concept or phenomenon (Schweigert, 2021). The strengths of this approach include its ability to produce reliable results that can be generalized to a larger population, although it can lack depth and detail.
• Qualitative methods encompass techniques that are designed to provide a deep understanding of a complex issue, often in a specific context, through collection of non-numerical data (Tracy, 2019). This approach often provides rich, detailed insights but can be time-consuming and its findings may not be generalizable.

These can be further broken down into a range of specific research methods and designs:

Combining the two methods above, mixed methods research mixes elements of both qualitative and quantitative research methods, providing a comprehensive understanding of the research problem . We can further break these down into:

• Sequential Explanatory Design (QUAN→QUAL): This methodology involves conducting quantitative analysis first, then supplementing it with a qualitative study.
• Sequential Exploratory Design (QUAL→QUAN): This methodology goes in the other direction, starting with qualitative analysis and ending with quantitative analysis.

Let’s explore some methods and designs from both quantitative and qualitative traditions, starting with qualitative research methods.

Qualitative Research Methods

Qualitative research methods allow for the exploration of phenomena in their natural settings, providing detailed, descriptive responses and insights into individuals’ experiences and perceptions (Howitt, 2019).

These methods are useful when a detailed understanding of a phenomenon is sought.

1. Ethnographic Research

Ethnographic research emerged out of anthropological research, where anthropologists would enter into a setting for a sustained period of time, getting to know a cultural group and taking detailed observations.

Ethnographers would sometimes even act as participants in the group or culture, which many scholars argue is a weakness because it is a step away from achieving objectivity (Stokes & Wall, 2017).

In fact, at its most extreme version, ethnographers even conduct research on themselves, in a fascinating methodology call autoethnography .

The purpose is to understand the culture, social structure, and the behaviors of the group under study. It is often useful when researchers seek to understand shared cultural meanings and practices in their natural settings.

However, it can be time-consuming and may reflect researcher biases due to the immersion approach.

Example of Ethnography

Liquidated: An Ethnography of Wall Street  by Karen Ho involves an anthropologist who embeds herself with Wall Street firms to study the culture of Wall Street bankers and how this culture affects the broader economy and world.

2. Phenomenological Research

Phenomenological research is a qualitative method focused on the study of individual experiences from the participant’s perspective (Tracy, 2019).

It focuses specifically on people’s experiences in relation to a specific social phenomenon ( see here for examples of social phenomena ).

This method is valuable when the goal is to understand how individuals perceive, experience, and make meaning of particular phenomena. However, because it is subjective and dependent on participants’ self-reports, findings may not be generalizable, and are highly reliant on self-reported ‘thoughts and feelings’.

Example of Phenomenological Research

A phenomenological approach to experiences with technology  by Sebnem Cilesiz represents a good starting-point for formulating a phenomenological study. With its focus on the ‘essence of experience’, this piece presents methodological, reliability, validity, and data analysis techniques that phenomenologists use to explain how people experience technology in their everyday lives.

3. Historical Research

Historical research is a qualitative method involving the examination of past events to draw conclusions about the present or make predictions about the future (Stokes & Wall, 2017).

As you might expect, it’s common in the research branches of history departments in universities.

This approach is useful in studies that seek to understand the past to interpret present events or trends. However, it relies heavily on the availability and reliability of source materials, which may be limited.

Common data sources include cultural artifacts from both material and non-material culture , which are then examined, compared, contrasted, and contextualized to test hypotheses and generate theories.

Example of Historical Research

A historical research example might be a study examining the evolution of gender roles over the last century. This research might involve the analysis of historical newspapers, advertisements, letters, and company documents, as well as sociocultural contexts.

4. Content Analysis

Content analysis is a research method that involves systematic and objective coding and interpreting of text or media to identify patterns, themes, ideologies, or biases (Schweigert, 2021).

A content analysis is useful in analyzing communication patterns, helping to reveal how texts such as newspapers, movies, films, political speeches, and other types of ‘content’ contain narratives and biases.

However, interpretations can be very subjective, which often requires scholars to engage in practices such as cross-comparing their coding with peers or external researchers.

Content analysis can be further broken down in to other specific methodologies such as semiotic analysis, multimodal analysis , and discourse analysis .

Example of Content Analysis

How is Islam Portrayed in Western Media?  by Poorebrahim and Zarei (2013) employs a type of content analysis called critical discourse analysis (common in poststructuralist and critical theory research ). This study by Poorebrahum and Zarei combs through a corpus of western media texts to explore the language forms that are used in relation to Islam and Muslims, finding that they are overly stereotyped, which may represent anti-Islam bias or failure to understand the Islamic world.

5. Grounded Theory Research

Grounded theory involves developing a theory  during and after  data collection rather than beforehand.

This is in contrast to most academic research studies, which start with a hypothesis or theory and then testing of it through a study, where we might have a null hypothesis (disproving the theory) and an alternative hypothesis (supporting the theory).

Grounded Theory is useful because it keeps an open mind to what the data might reveal out of the research. It can be time-consuming and requires rigorous data analysis (Tracy, 2019).

Grounded Theory Example

Developing a Leadership Identity   by Komives et al (2005) employs a grounded theory approach to develop a thesis based on the data rather than testing a hypothesis. The researchers studied the leadership identity of 13 college students taking on leadership roles. Based on their interviews, the researchers theorized that the students’ leadership identities shifted from a hierarchical view of leadership to one that embraced leadership as a collaborative concept.

6. Action Research

Action research is an approach which aims to solve real-world problems and bring about change within a setting. The study is designed to solve a specific problem – or in other words, to take action (Patten, 2017).

This approach can involve mixed methods, but is generally qualitative because it usually involves the study of a specific case study wherein the researcher works, e.g. a teacher studying their own classroom practice to seek ways they can improve.

Action research is very common in fields like education and nursing where practitioners identify areas for improvement then implement a study in order to find paths forward.

Action Research Example

Using Digital Sandbox Gaming to Improve Creativity Within Boys’ Writing   by Ellison and Drew was a research study one of my research students completed in his own classroom under my supervision. He implemented a digital game-based approach to literacy teaching with boys and interviewed his students to see if the use of games as stimuli for storytelling helped draw them into the learning experience.

7. Natural Observational Research

Observational research can also be quantitative (see: experimental research), but in naturalistic settings for the social sciences, researchers tend to employ qualitative data collection methods like interviews and field notes to observe people in their day-to-day environments.

This approach involves the observation and detailed recording of behaviors in their natural settings (Howitt, 2019). It can provide rich, in-depth information, but the researcher’s presence might influence behavior.

While observational research has some overlaps with ethnography (especially in regard to data collection techniques), it tends not to be as sustained as ethnography, e.g. a researcher might do 5 observations, every second Monday, as opposed to being embedded in an environment.

Observational Research Example

A researcher might use qualitative observational research to study the behaviors and interactions of children at a playground. The researcher would document the behaviors observed, such as the types of games played, levels of cooperation , and instances of conflict.

8. Case Study Research

Case study research is a qualitative method that involves a deep and thorough investigation of a single individual, group, or event in order to explore facets of that phenomenon that cannot be captured using other methods (Stokes & Wall, 2017).

Case study research is especially valuable in providing contextualized insights into specific issues, facilitating the application of abstract theories to real-world situations (Patten, 2017).

However, findings from a case study may not be generalizable due to the specific context and the limited number of cases studied (Walliman, 2021).

See More: Case Study Advantages and Disadvantages

Example of a Case Study

Scholars conduct a detailed exploration of the implementation of a new teaching method within a classroom setting. The study focuses on how the teacher and students adapt to the new method, the challenges encountered, and the outcomes on student performance and engagement. While the study provides specific and detailed insights of the teaching method in that classroom, it cannot be generalized to other classrooms, as statistical significance has not been established through this qualitative approach.

Quantitative Research Methods

Quantitative research methods involve the systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques (Pajo, 2022). The focus is on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.

9. Experimental Research

Experimental research is a quantitative method where researchers manipulate one variable to determine its effect on another (Walliman, 2021).

This is common, for example, in high-school science labs, where students are asked to introduce a variable into a setting in order to examine its effect.

This type of research is useful in situations where researchers want to determine causal relationships between variables. However, experimental conditions may not reflect real-world conditions.

Example of Experimental Research

A researcher may conduct an experiment to determine the effects of a new educational approach on student learning outcomes. Students would be randomly assigned to either the control group (traditional teaching method) or the experimental group (new educational approach).

10. Surveys and Questionnaires

Surveys and questionnaires are quantitative methods that involve asking research participants structured and predefined questions to collect data about their attitudes, beliefs, behaviors, or characteristics (Patten, 2017).

Surveys are beneficial for collecting data from large samples, but they depend heavily on the honesty and accuracy of respondents.

They tend to be seen as more authoritative than their qualitative counterparts, semi-structured interviews, because the data is quantifiable (e.g. a questionnaire where information is presented on a scale from 1 to 10 can allow researchers to determine and compare statistical means, averages, and variations across sub-populations in the study).

Example of a Survey Study

A company might use a survey to gather data about employee job satisfaction across its offices worldwide. Employees would be asked to rate various aspects of their job satisfaction on a Likert scale. While this method provides a broad overview, it may lack the depth of understanding possible with other methods (Stokes & Wall, 2017).

11. Longitudinal Studies

Longitudinal studies involve repeated observations of the same variables over extended periods (Howitt, 2019). These studies are valuable for tracking development and change but can be costly and time-consuming.

With multiple data points collected over extended periods, it’s possible to examine continuous changes within things like population dynamics or consumer behavior. This makes a detailed analysis of change possible.

Perhaps the most relatable example of a longitudinal study is a national census, which is taken on the same day every few years, to gather comparative demographic data that can show how a nation is changing over time.

While longitudinal studies are commonly quantitative, there are also instances of qualitative ones as well, such as the famous 7 Up study from the UK, which studies 14 individuals every 7 years to explore their development over their lives.

Example of a Longitudinal Study

A national census, taken every few years, uses surveys to develop longitudinal data, which is then compared and analyzed to present accurate trends over time. Trends a census can reveal include changes in religiosity, values and attitudes on social issues, and much more.

12. Cross-Sectional Studies

Cross-sectional studies are a quantitative research method that involves analyzing data from a population at a specific point in time (Patten, 2017). They provide a snapshot of a situation but cannot determine causality.

This design is used to measure and compare the prevalence of certain characteristics or outcomes in different groups within the sampled population.

The major advantage of cross-sectional design is its ability to measure a wide range of variables simultaneously without needing to follow up with participants over time.

However, cross-sectional studies do have limitations . This design can only show if there are associations or correlations between different variables, but cannot prove cause and effect relationships, temporal sequence, changes, and trends over time.

Example of a Cross-Sectional Study

Our longitudinal study example of a national census also happens to contain cross-sectional design. One census is cross-sectional, displaying only data from one point in time. But when a census is taken once every few years, it becomes longitudinal, and so long as the data collection technique remains unchanged, identification of changes will be achievable, adding another time dimension on top of a basic cross-sectional study.

13. Correlational Research

Correlational research is a quantitative method that seeks to determine if and to what degree a relationship exists between two or more quantifiable variables (Schweigert, 2021).

This approach provides a fast and easy way to make initial hypotheses based on either positive or  negative correlation trends  that can be observed within dataset.

While correlational research can reveal relationships between variables, it cannot establish causality.

Methods used for data analysis may include statistical correlations such as Pearson’s or Spearman’s.

Example of Correlational Research

A team of researchers is interested in studying the relationship between the amount of time students spend studying and their academic performance. They gather data from a high school, measuring the number of hours each student studies per week and their grade point averages (GPAs) at the end of the semester. Upon analyzing the data, they find a positive correlation, suggesting that students who spend more time studying tend to have higher GPAs.

14. Quasi-Experimental Design Research

Quasi-experimental design research is a quantitative research method that is similar to experimental design but lacks the element of random assignment to treatment or control.

Instead, quasi-experimental designs typically rely on certain other methods to control for extraneous variables.

The term ‘quasi-experimental’ implies that the experiment resembles a true experiment, but it is not exactly the same because it doesn’t meet all the criteria for a ‘true’ experiment, specifically in terms of control and random assignment.

Quasi-experimental design is useful when researchers want to study a causal hypothesis or relationship, but practical or ethical considerations prevent them from manipulating variables and randomly assigning participants to conditions.

Example of Quasi-Experimental Design

A researcher wants to study the impact of a new math tutoring program on student performance. However, ethical and practical constraints prevent random assignment to the “tutoring” and “no tutoring” groups. Instead, the researcher compares students who chose to receive tutoring (experimental group) to similar students who did not choose to receive tutoring (control group), controlling for other variables like grade level and previous math performance.

Related: Examples and Types of Random Assignment in Research

15. Meta-Analysis Research

Meta-analysis statistically combines the results of multiple studies on a specific topic to yield a more precise estimate of the effect size. It’s the gold standard of secondary research .

Meta-analysis is particularly useful when there are numerous studies on a topic, and there is a need to integrate the findings to draw more reliable conclusions.

Some meta-analyses can identify flaws or gaps in a corpus of research, when can be highly influential in academic research, despite lack of primary data collection.

However, they tend only to be feasible when there is a sizable corpus of high-quality and reliable studies into a phenomenon.

Example of a Meta-Analysis

The power of feedback revisited (Wisniewski, Zierer & Hattie, 2020) is a meta-analysis that examines 435 empirical studies research on the effects of feedback on student learning. They use a random-effects model to ascertain whether there is a clear effect size across the literature. The authors find that feedback tends to impact cognitive and motor skill outcomes but has less of an effect on motivational and behavioral outcomes.

Choosing a research method requires a lot of consideration regarding what you want to achieve, your research paradigm, and the methodology that is most valuable for what you are studying. There are multiple types of research methods, many of which I haven’t been able to present here. Generally, it’s recommended that you work with an experienced researcher or research supervisor to identify a suitable research method for your study at hand.

Hammond, M., & Wellington, J. (2020). Research methods: The key concepts . New York: Routledge.

Howitt, D. (2019). Introduction to qualitative research methods in psychology . London: Pearson UK.

Pajo, B. (2022). Introduction to research methods: A hands-on approach . New York: Sage Publications.

Patten, M. L. (2017). Understanding research methods: An overview of the essentials . New York: Sage

Schweigert, W. A. (2021). Research methods in psychology: A handbook . Los Angeles: Waveland Press.

Stokes, P., & Wall, T. (2017). Research methods . New York: Bloomsbury Publishing.

Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact . London: John Wiley & Sons.

Walliman, N. (2021). Research methods: The basics. London: Routledge.

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 15 Animism Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 10 Magical Thinking Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ Social-Emotional Learning (Definition, Examples, Pros & Cons)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ What is Educational Psychology?

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

PhD in Qualitative Research and Evaluation Methodologies

If you have a deep interest in the methodological, theoretical, and ethical procedures and challenges inherent to social science research and evaluation, this is a program for you. Our students contribute to the methodological and theoretical development of qualitative research and program evaluation.

Our program prepares research methodologists to study and develop theories and methods for conducting empirical and conceptual social science research and evaluation in education and other social science fields. Specifically, this program develops scholars and methodologists who are prepared to contribute to the advancement of innovative theories and methods used in qualitative research and program evaluation.

• Focus on qualitative methodologies with interdisciplinary topics
• Open to students with a variety of educational backgrounds and experiences
• Small cohorts support individual faculty attention and mentorship

Video: Overview of Programs Offered by the Qualitative Research Program

Video: Meet the Qualitative Research Faculty

The organization of the research and evaluation methods degree program recognizes the wide variety of specialties in which you might develop research agendas.

Our mission is to build your capacity to contribute methodological expertise to collaborative research efforts through real-world opportunities in which you develop and practice the skills needed in your area of emphasis. As a result of this experience, you will have a broad knowledge of research methods along with specific expertise in a focused methodology. You can use this knowledge to pursue careers as research methodologists and evaluation specialists in higher education, corporations, and non-profit agencies.

The Ph.D. degree is a 54-credit hour degree program in which students engage in advanced study of qualitative theories and methods, mixed methods, and approaches to evaluation.

• Core Coursework - 21 hours
• Research Seminar - 3 hours
• Elective Coursework - 18 hours
• Internship - 6 hours
• Doctoral hours Minimum of - 3 hours
• Dissertation Minimum of - 3 hours
• TOTAL - 54 hours

Part 1: Apply to the University of Georgia

The Graduate School handles admission for all graduate programs at the University of Georgia, including those in the College of Education. The Graduate School website contains important details about the application process, orientation, and many other useful links to guide you through the process of attending UGA at the graduate level.

Start A Graduate School Application

Part 2: Apply to the Ph.D. in Qualitative Research and Evaluation Methodologies

Please upload the following materials in your online application:

• Personal statement
• Curriculum vitae
• Writing sample (20-25 pages maximum)

Summary of Application Materials

Both the Graduate School and the academic department review application materials simultaneously. The Graduate School then reviews the department’s recommendation and makes the final determination on admission. As an applicant you will receive a formal letter regarding your admission from the Office of Graduate Admissions. You must be admitted to a program to be eligible to register for courses. Admission is granted for a specific semester and is validated by registration for that semester. Applicants must be admitted to the Graduate School before they are eligible to register. International applicants whose primary language is not English must submit scores from the TOEFL or IELTS tests in addition to a Certificate of Finances form. No application will be considered until all materials are received. To apply to the Ph.D. in Qualitative Research and Evaluation Methodologies, applicants must have completed a master’s degree. GRE scores are required for all applications.

Personal Statement

The program requires a personal statement, usually in the form of a letter of 2 to 3 pages, describing your background, work and research experience, interests in research and/or evaluation methodologies, and career aspirations. Specifically, you should be sure to address the following questions:

• What experience or background do you have in research methodologies?
• Why are you interested in the study of qualitative or evaluation methodologies?
• What research or evaluation questions do you hope to pursue, and why?
• In what way will the study of research or evaluation methodologies shape your career?

Writing Sample

You are required to submit a sample of formal writing (20-25 pages maximum). Scholarly or academic writing is preferred whether or not it has been published. If you have not published, recent course papers or work-related reports are appropriate.

Admissions Interviews

After a review of applications, selected applicants will be interviewed by the Ph.D. in Research and Evaluation Methodologies (REM) Admissions Committee early in the Spring semester for a subsequent Fall semester admission.

Deadline To Apply

Log Into Existing Application

Additional Resources

Please use our online form if you have any questions for the department. Please be as specific as possible so that we may quickly assist you.

The College’s programs are taught by dedicated faculty who are experts in a range of areas and are passionate about helping students succeed both in their programs and professionally.

Meet the Faculty View Affiliated Faculty

Most graduate students at UGA are not assigned to a faculty advisor until after admittance. A close working relationship with your advisor is paramount to progressing through your program of study.

Almost all in-state students begin their studies at UGA paying limited tuition or fees. Please note that these amounts are subject to change and are meant to give prospective students an idea of the costs associated with a degree at the University of Georgia College of Education.

Students may qualify for a variety of assistantships, scholarships, and other financial awards to help offset the cost of tuition, housing, and other expenses.

Tuition Rates   Browse Financial Aid

In this program, you will take focused coursework with individual attention from faculty mentors .

Each semester, you will also take part in a seminar that brings together faculty in the qualitative research program to discuss topics of relevance to scholarship and teaching in qualitative research methodologies in higher education.

See for yourself how much UGA College of Education has to offer! Schedule a tour of campus to learn more about the UGA student experience.

Schedule A Visit

Useful Links

• Affiliate Faculty
• Course List
• Graduate Handbook
• Summary of Materials Required by Area of Emphasis
• Projected QUAL Course Schedule
• Qualitative Research Program Community Practices

Testimonials

What first attracted me to the Qualitative Research and Evaluation Ph.D. program was the balance it offers between the philosophy of science and the practical application of research and evaluation. The program’s faculty members are amazing at supporting students’ learning, and at pushing us to be creative, deep thinking, and daring as we explore methodologies. Nuria Jaumot-Pascual, Doctoral Student

My path through the Qualitative Research and Evaluation Ph.D. program had me exploring the depths of qualitative research rarely visited by researchers in the health sciences but that have been essential in my current position as Senior Research Associate at Evidera. Now I find myself often referencing qualitative research theory and history when selecting strategies for new studies or when arranging trainings across my organization. Moreover, the breadth of interests across students in the program provided unique perspectives that enriched my journey. Most of all though, I am impressed with how well the faculty helped guide me through the program, making theory, history, and applied work relevant for my own career goals. Sean Halpin, Former Doctoral Student

I really discovered the world of qualitative research with the Qualitative Research and Evaluation Methodologies Ph.D. program, and the instructors made me adore it. Their support for the students’ learning was so impeccable. They had genial ways to encourage students to think outside the box and to be creative from every point of view, especially when it comes to methodologies. Bidossessi Mariano Ghislain Dossou Kpanou, Former Doctoral Student

Doctor of Philosophy in Education

Additional Information

• Download the Doctoral Viewbook
• Admissions & Aid

The Harvard Ph.D. in Education trains cutting-edge researchers who work across disciplines to generate knowledge and translate discoveries into transformative policy and practice.

Offered jointly by the Harvard Graduate School of Education and the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences, the Ph.D. in Education provides you with full access to the extraordinary resources of Harvard University and prepares you to assume meaningful roles as university faculty, researchers, senior-level education leaders, and policymakers.

As a Ph.D. candidate, you will collaborate with scholars across all Harvard graduate schools on original interdisciplinary research. In the process, you will help forge new fields of inquiry that will impact the way we teach and learn. The program’s required coursework will develop your knowledge of education and your expertise in a range of quantitative and qualitative methods needed to conduct high-quality research. Guided by the goal of making a transformative impact on education research, policy, and practice, you will focus on independent research in various domains, including human development, learning and teaching, policy analysis and evaluation, institutions and society, and instructional practice.   

Curriculum Information

The Ph.D. in Education requires five years of full-time study to complete. You will choose your individual coursework and design your original research in close consultation with your HGSE faculty adviser and dissertation committee. The requirements listed below include the three Ph.D. concentrations: Culture, Institutions, and Society; Education Policy and Program Evaluation; and Human Development, Learning and Teaching . 

We invite you to review an example course list, which is provided in two formats — one as the full list by course number and one by broad course category . These lists are subject to modification. 

Ph.D. Concentrations and Examples

Summary of Ph.D. Program

Doctoral Colloquia  In year one and two you are required to attend. The colloquia convenes weekly and features presentations of work-in-progress and completed work by Harvard faculty, faculty and researchers from outside Harvard, and Harvard doctoral students. Ph.D. students present once in the colloquia over the course of their career.

Research Apprenticeship The Research Apprenticeship is designed to provide ongoing training and mentoring to develop your research skills throughout the entire program.

Teaching Fellowships The Teaching Fellowship is an opportunity to enhance students' teaching skills, promote learning consolidation, and provide opportunities to collaborate with faculty on pedagogical development.

Comprehensive Exams  The Written Exam (year 2, spring) tests you on both general and concentration-specific knowledge. The Oral Exam (year 3, fall/winter) tests your command of your chosen field of study and your ability to design, develop, and implement an original research project.

Dissertation  Based on your original research, the dissertation process consists of three parts: the Dissertation Proposal, the writing, and an oral defense before the members of your dissertation committee.

Culture, Institutions, and Society (CIS) Concentration

In CIS, you will examine the broader cultural, institutional, organizational, and social contexts relevant to education across the lifespan. What is the value and purpose of education? How do cultural, institutional, and social factors shape educational processes and outcomes? How effective are social movements and community action in education reform? How do we measure stratification and institutional inequality? In CIS, your work will be informed by theories and methods from sociology, history, political science, organizational behavior and management, philosophy, and anthropology. You can examine contexts as diverse as classrooms, families, neighborhoods, schools, colleges and universities, religious institutions, nonprofits, government agencies, and more.

Education Policy and Program Evaluation (EPPE) Concentration

In EPPE, you will research the design, implementation, and evaluation of education policy affecting early childhood, K–12, and postsecondary education in the U.S. and internationally. You will evaluate and assess individual programs and policies related to critical issues like access to education, teacher effectiveness, school finance, testing and accountability systems, school choice, financial aid, college enrollment and persistence, and more. Your work will be informed by theories and methods from economics, political science, public policy, and sociology, history, philosophy, and statistics. This concentration shares some themes with CIS, but your work with EPPE will focus on public policy and large-scale reforms.

Human Development, Learning and Teaching (HDLT) Concentration

In HDLT, you will work to advance the role of scientific research in education policy, reform, and practice. New discoveries in the science of learning and development — the integration of biological, cognitive, and social processes; the relationships between technology and learning; or the factors that influence individual variations in learning — are transforming the practice of teaching and learning in both formal and informal settings. Whether studying behavioral, cognitive, or social-emotional development in children or the design of learning technologies to maximize understanding, you will gain a strong background in human development, the science of learning, and sociocultural factors that explain variation in learning and developmental pathways. Your research will be informed by theories and methods from psychology, cognitive science, sociology and linguistics, philosophy, the biological sciences and mathematics, and organizational behavior.

Program Faculty

The most remarkable thing about the Ph.D. in Education is open access to faculty from all Harvard graduate and professional schools, including the Harvard Graduate School of Education, the Faculty of Arts and Sciences, the Harvard Kennedy School, the Harvard Law School, Harvard Medical School, and the Harvard School of Public Health. Learn about the full Ph.D. Faculty.

Jarvis R. Givens

Jarvis Givens studies the history of American education, African American history, and the relationship between race and power in schools.

Paul L. Harris

Paul Harris is interested in the early development of cognition, emotion, and imagination in children.

Meira Levinson

Meira Levinson is a normative political philosopher who works at the intersection of civic education, youth empowerment, racial justice, and educational ethics. 

Luke W. Miratrix

Luke Miratrix is a statistician who explores how to best use modern statistical methods in applied social science contexts.

Eric Taylor

Eric Taylor studies the economics of education, with a particular interest in employer-employee interactions between schools and teachers — hiring and firing decisions, job design, training, and performance evaluation.

Paola Uccelli

Paola Ucelli studies socio-cultural and individual differences in the language development of multilingual and monolingual students.

View Ph.D. Faculty

Dissertations.

The following is a complete listing of successful Ph.D. in Education dissertations to-date. Dissertations from November 2014 onward are publicly available in the Digital Access to Scholarship at Harvard (DASH) , the online repository for Harvard scholarship.

• 2022 Graduate Dissertations (265 KB pdf)
• 2021 Graduate Dissertations (177 KB pdf)
• 2020 Graduate Dissertations (121 KB pdf)
• 2019 Graduate Dissertations (68.3 KB pdf)

Student Directory

An opt-in listing of current Ph.D. students with information about their interests, research, personal web pages, and contact information:

Doctor of Philosophy in Education Student Directory

Introduce Yourself

Tell us about yourself so that we can tailor our communication to best fit your interests and provide you with relevant information about our programs, events, and other opportunities to connect with us.

Program Highlights

Explore examples of the Doctor of Philosophy in Education experience and the impact its community is making on the field:

Reshaping Teacher Licensure: Lessons from the Pandemic

Olivia Chi, Ed.M.'17, Ph.D.'20, discusses the ongoing efforts to ensure the quality and stability of the teaching workforce

Lost in Translation

New comparative study from Ph.D. candidate Maya Alkateb-Chami finds strong correlation between low literacy outcomes for children and schools teaching in different language from home

Get science-backed answers as you write with Paperpal's Research feature

What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Why is research methodology important?

Having a good research methodology in place has the following advantages: 3

• Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
• You can easily answer any questions about your research if they arise at a later stage.
• A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
• It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
• A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
• It also helps ensure that ethical guidelines are followed while conducting research.
• A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

Writing the methods section of a research paper? Let Paperpal help you achieve perfection

Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

• Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
• Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
• Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

• Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

• Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
• Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
• Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
• Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
• Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
• Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
• Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

• One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
• Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
• Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
• Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

• Sampling: The most common type is probability sampling.
• Interviews: Commonly telephonic or done in-person.
• Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
• Document review: Reviewing existing research or documents to collect evidence for supporting the research.
• Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

Let Paperpal help you write the perfect research methods section. Start now!

What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

• Measures of frequency (count, percent, frequency)
• Measures of central tendency (mean, median, mode)
• Measures of dispersion or variation (range, variance, standard deviation)
• Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

• Correlation: To understand the relationship between two or more variables.
• Cross-tabulation: Analyze the relationship between multiple variables.
• Regression analysis: Study the impact of independent variables on the dependent variable.
• Frequency tables: To understand the frequency of data.
• Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

• Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
• Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
• Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
• Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
• Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

• Research objectives, aims, and questions —these would help structure the research design.
• Review existing literature to identify any gaps in knowledge.
• Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
• Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
• Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

Got writer’s block? Kickstart your research paper writing with Paperpal now!

How to write a research methodology .

A research methodology should include the following components: 3,9

• Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
• Research method —this can be quantitative, qualitative, or mixed-method.
• Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
• Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
• Sampling —this involves selecting a representative subset of the population being studied.
• Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
• Data analysis —describe the data analysis methods you will use once you’ve collected the data.
• Research limitations —mention any limitations you foresee while conducting your research.
• Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
• Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

Streamline Your Research Paper Writing Process with Paperpal

The methods section is a critical part of the research papers, allowing researchers to use this to understand your findings and replicate your work when pursuing their own research. However, it is usually also the most difficult section to write. This is where Paperpal can help you overcome the writer’s block and create the first draft in minutes with Paperpal Copilot, its secure generative AI feature suite.  

With Paperpal you can get research advice, write and refine your work, rephrase and verify the writing, and ensure submission readiness, all in one place. Here’s how you can use Paperpal to develop the first draft of your methods section.  

• Generate an outline: Input some details about your research to instantly generate an outline for your methods section 
• Develop the section: Use the outline and suggested sentence templates to expand your ideas and develop the first draft.  
• P araph ras e and trim : Get clear, concise academic text with paraphrasing that conveys your work effectively and word reduction to fix redundancies. 
• Choose the right words: Enhance text by choosing contextual synonyms based on how the words have been used in previously published work.  
• Check and verify text : Make sure the generated text showcases your methods correctly, has all the right citations, and is original and authentic. .   

You can repeat this process to develop each section of your research manuscript, including the title, abstract and keywords. Ready to write your research papers faster, better, and without the stress? Sign up for Paperpal and start writing today!

Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

• Research design
• Data collection procedures
• Data analysis methods
• Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

• Participants should not be subjected to harm.
• Respect for the dignity of participants should be prioritized.
• Full consent should be obtained from participants before the study.
• Participants’ privacy should be ensured.
• Confidentiality of the research data should be ensured.
• Anonymity of individuals and organizations participating in the research should be maintained.
• The aims and objectives of the research should not be exaggerated.
• Affiliations, sources of funding, and any possible conflicts of interest should be declared.
• Communication in relation to the research should be honest and transparent.
• Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

Accelerate your research paper writing with Paperpal. Try for free now!

• Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
• Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
• The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
• Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
• What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
• What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
• Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
• Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
• What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
• Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

Experience the future of academic writing – Sign up to Paperpal and start writing for free!  

Related Reads:

• Dangling Modifiers and How to Avoid Them in Your Writing 
• Webinar: How to Use Generative AI Tools Ethically in Your Academic Writing
• Research Outlines: How to Write An Introduction Section in Minutes with Paperpal Copilot
• How to Paraphrase Research Papers Effectively

Language and Grammar Rules for Academic Writing

Climatic vs. climactic: difference and examples, you may also like, how to write a high-quality conference paper, how paperpal is enhancing academic productivity and accelerating..., academic editing: how to self-edit academic text with..., 4 ways paperpal encourages responsible writing with ai, what are scholarly sources and where can you..., how to write a hypothesis types and examples , what is academic writing: tips for students, what is hedging in academic writing  , how to use ai to enhance your college..., how to use paperpal to generate emails &....

• Home »
• Advice »
• Studying For A PhD

find your perfect postgrad program Search our Database of 30,000 Courses

Phd research methods.

Find out about the different types of research methods used when studying for a PhD.

Plus, read our blog on How To Effectively Conduct Postgraduate Research .

Exclusive bursaries Open day alerts Funding advice Application tips Latest PG news

Sign up now!

Take 2 minutes to sign up to PGS student services and reap the benefits…

• The chance to apply for one of our 5 PGS Bursaries worth £2,000 each
• Fantastic scholarship updates
• Latest PG news sent directly to you.

• History, Facts & Figures
• YSM Dean & Deputy Deans
• YSM Administration
• Department Chairs
• YSM Executive Group
• YSM Board of Permanent Officers
• FAC Documents
• Current FAC Members
• Appointments & Promotions Committees
• Ad Hoc Committees and Working Groups
• Chair Searches
• Leadership Searches
• Organization Charts
• Faculty Demographic Data
• Professionalism Reporting Data
• 2022 Diversity Engagement Survey
• State of the School Archive
• Faculty Climate Survey: YSM Results
• Strategic Planning
• Mission Statement & Process
• Beyond Sterling Hall
• COVID-19 Series Workshops
• Previous Workshops
• Departments & Centers
• Find People
• Biomedical Data Science
• Health Equity
• Inflammation
• Neuroscience
• Global Health
• Diabetes and Metabolism
• Policies & Procedures
• Media Relations
• A to Z YSM Lab Websites
• A-Z Faculty List
• A-Z Staff List
• A to Z Abbreviations
• Dept. Diversity Vice Chairs & Champions
• Dean’s Advisory Council on Lesbian, Gay, Bisexual, Transgender, Queer and Intersex Affairs Website
• Minority Organization for Retention and Expansion Website
• Office for Women in Medicine and Science
• Committee on the Status of Women in Medicine Website
• Director of Scientist Diversity and Inclusion
• Diversity Supplements
• Frequently Asked Questions
• Recruitment
• By Department & Program
• News & Events
• Executive Committee
• Aperture: Women in Medicine
• Self-Reflection
• Portraits of Strength
• Mindful: Mental Health Through Art
• Event Photo Galleries
• Additional Support
• MD-PhD Program
• PA Online Program
• Joint MD Programs
• How to Apply
• Advanced Health Sciences Research
• Clinical Informatics & Data Science
• Clinical Investigation
• Medical Education
• Visiting Student Programs
• Special Programs & Student Opportunities
• Residency & Fellowship Programs
• Center for Med Ed
• Organizational Chart
• Leadership & Staff
• Committee Procedural Info (Login Required)
• Faculty Affairs Department Teams
• Recent Appointments & Promotions
• Academic Clinician Track
• Clinician Educator-Scholar Track
• Clinican-Scientist Track
• Investigator Track
• Traditional Track
• Research Ranks
• Instructor/Lecturer
• Social Work Ranks
• Voluntary Ranks
• Adjunct Ranks
• Other Appt Types
• Appointments
• Reappointments
• Transfer of Track
• Term Extensions
• Timeline for A&P Processes
• Interfolio Faculty Search
• Interfolio A&P Processes
• Yale CV Part 1 (CV1)
• Yale CV Part 2 (CV2)
• Samples of Scholarship
• Teaching Evaluations
• Letters of Evaluation
• Dept A&P Narrative
• A&P Voting
• Faculty Affairs Staff Pages
• OAPD Faculty Workshops
• Leadership & Development Seminars
• List of Faculty Mentors
• Incoming Faculty Orientation
• Faculty Onboarding
• Past YSM Award Recipients
• Past PA Award Recipients
• Past YM Award Recipients
• International Award Recipients
• Nominations Calendar
• OAPD Newsletter
• Fostering a Shared Vision of Professionalism
• Academic Integrity
• Addressing Professionalism Concerns
• Consultation Support for Chairs & Section Chiefs
• Policies & Codes of Conduct
• First Fridays
• Fund for Physician-Scientist Mentorship
• Grant Library
• Grant Writing Course
• Mock Study Section
• Research Paper Writing
• Establishing a Thriving Research Program
• Funding Opportunities
• Join Our Voluntary Faculty
• Child Mental Health: Fostering Wellness in Children
• Faculty Resources
• Research by Keyword
• Research by Department
• Research by Global Location
• Translational Research
• Research Cores & Services
• Program for the Promotion of Interdisciplinary Team Science (POINTS)
• CEnR Steering Committee
• Experiential Learning Subcommittee
• Goals & Objectives
• Issues List
• Print Magazine PDFs
• Print Newsletter PDFs
• YSM Events Newsletter
• Social Media
• Patient Care

INFORMATION FOR

• Residents & Fellows
• Researchers

Investigating the Link Between Metabolism and Cancer

Rachel perry, phd.

When Rachel Perry, PhD , assistant professor of medicine (endocrinology) and of cellular and molecular physiology, started her lab in 2018, she set out to understand how the tools used to study systemic metabolism could be applied in the context of cancer.

“We’re looking at how can we change the nutrients that we take in and the energy that we put out,” Perry explained. “For instance, we want to find out how can we alter exercise or other behavior to improve our body's metabolic or nutritional response to cancer.”

In an interview, Perry discusses the link between insulin and cancer, a surprising finding in her research, and the future of precision medicine for metabolism-related cancers.

What metabolic factors drive tumor growth?

Cancer cells divide quickly, and to grow, tumors require many nutrients. One of the major nutrients for tumors is glucose. Research has shown that insulin, a hormone produced by the pancreas, is key to regulating glucose uptake into tumors. Insulin tells various cells in the body to take up glucose in response to a meal to use for energy.

Individuals with obesity tend to be insulin resistant, meaning their cells don’t take up glucose in response to insulin. When that occurs, our bodies produce more insulin to allow us to overcome that insulin resistance. Insulin is both a growth factor and a metabolic factor in cells. Insulin tells tumor cells to take up glucose like it tells liver and muscle cells to take up glucose.

The problem is tumor cells do not become insulin resistant, whereas other cells in the body do. In an individual with obesity and insulin resistance, tumor cells continue to take up more glucose in response to insulin, but the other cells in the body do not. When insulin levels are high, and other cells aren't responding, more glucose is funneled into tumor cells.

Are there ways to reduce the risk of developing this type of cancer?

Numerous studies have shown that low-carbohydrate diets and exercise can be beneficial.

Have you found anything surprising in your research?

We did a study in preclinical models in which we combined a drug called dichloroacetate, which can activate glucose oxidation, with immunotherapy. We thought that if you activate glucose metabolism, it could improve the response to immunotherapy. The drug didn't slow tumor growth, but it did reduce cancer-related fatigue.

We weren’t expecting to go in the direction of cancer-related fatigue, but my philosophy in the lab is we follow the science. Ninety percent of patients with cancer report substantial fatigue that impairs their quality of life and reduces the probability that they will complete cancer treatment. Currently, there are no effective medications for this debilitating condition. We hope that this drug can potentially help these patients.

What is the future of treatment for metabolism-related cancers?

There are 13 tumor types that the CDC has associated with obesity. But there are also people with a BMI under 30 who have metabolic dysfunction, and there are people with a BMI over 30 who do not have metabolic dysfunction. One key thing that we need to do is nuance our understanding of what obesity means and link tumor factors to metabolic dysfunction rather than BMI.

We are working to learn more about how systemic metabolism affects the immune response to cancer and the tumor's metabolic response to cancer. We hope to repurpose metabolic drugs used for diabetes or obesity to potentially improve cancer treatment.

We showed in a paper published a couple of years ago that in various breast cancer preclinical models, depending on the tumor genetics, different models respond better to insulin-lowering therapies. That research opens the possibility of developing precision medicine-type approaches to use metabolic therapy for cancer. That’s our goal moving on.

Y ale School of Medicine’s Section of Endocrinology and Metabolism works to improve the health of individuals with endocrine and metabolic diseases by advancing scientific knowledge, applying new information to patient care, and training the next generation of physicians and scientists to become leaders in the field. To learn more, visit Endocrinology and Metabolism .

• Internal Medicine
• Breast Cancer
• Endocrinology

Featured in this article

• Rachel Jamison Perry, PhD Assistant Professor of Medicine (Endocrinology) and of Cellular and Molecular Physiology

2024 NFS Graduate Research Fellowship Program announces awardees and honorable mentions

Twelve boilermakers from the College of Science are honored  

The National Science Foundation ( NSF ) has announced the 2024 Graduate Research Fellowship Program ( GRFP ) which included 20 awardees and 12 honorable mentions from Purdue University.  Of the pool of innovators, the Purdue University College of Science students stood out with ten awardee offers and two honorable mentions:  

Awardees:  

• Katie Wilson: Applied Math major with EAPS and CS minors; Field of study : Geosciences - Computationally Intensive Research  
• Abigail Haydee Soliven : Chemistry (ACS), Honors College with distinction, and a minor in English; Field of study : Chemistry - Chemical Catalysis  
• Meenakshi McNamara : Physics and Math major; Field of study : Mathematical Sciences - Quantum Information Science  
• Brady R Layman : Chemistry graduate student in Professor Jeffrey Dick’s laboratory; Field of study : Chemical Measurement and Imaging  
• Mikail Habib Khan : CS, with Mathematics minor; Field of study : Comp/IS/Eng - Formal Methods, Verification, and Programming Languages  
• Daniel Miroslav Hristov : Chemistry and Honors College; Field of study : Chemistry - Chemical Structure, Dynamics, and Mechanism  
• Stephanie Sara DeLancey : Chemistry with Psychology minor; Field of study : Chemistry - Undergraduate American Chemical Society accredited  
• Addison Curtis : EAPS graduate student; Field of study : Geosciences - Geochemistry  
• Grace Crim : Chemistry and Electrical Engineering, minor in Biological Sciences; Field of study : Engineering - Electrical and Electronic Engineering  
• Haleigh Brown : EAPS graduate student Field of study : Geosciences and Astrobiology  

Honorable Mentions:   

• Mariana Blanco-Rojas : EAPS graduate student  
• Sara Cuevas-Quiñones : Physics and EAPS major  

The purpose of the NSF GRFP is to help ensure the quality, vitality, and diversity of the scientific and engineering workforce of the United States. A goal of the program is to broaden participation of the full spectrum of diverse talents in STEM. The five-year fellowship provides three years of financial support inclusive of an annual stipend of $37,000.  

To learn more about GRFP or to apply for future awards, current students at the undergraduate and graduate level can check the NSF GRFP resources webpage . The College of Science is proud of our students who are driven to instigate the next giants leaps in STEM and look forward to following their research into their five-year fellowships term.  

Learn more about some of the students who were offered the fellowship below.    

Katie Wilson :   

“I am about to graduate from Purdue with a bachelor’s degree in applied math and minors in computer science and EAPS at Purdue. I fell in love with atmospheric science at Purdue, specifically clouds, and am excited to continue my education on the topic in grad school. At Purdue, I have been deeply involved in the Women in Science Program as a mentee, mentor, and team leader, from which I have made so many fun memories and impactful relationships. Being awarded the GRFP changed my future and opened exciting opportunities for me. Because of it, I am now able to pursue research in a field that I am passionate about without having to stress much over funding, something that greatly influenced my graduate school decision. I am very grateful for the opportunity to prove myself and make discoveries with my research as a woman in science. My plans for the GRFP are to go to the University of Wisconsin-Madison and get my master’s through their Atmospheric and Oceanic Science Research Program. I plan to do research on cloud microphysics/aerosols to learn more about factors that affect cloud properties and how this impacts climate change using numerical models and remote sensing data.”  

Haleigh Brown :   

“I am a computational astrobiologist working within the PHAB lab under Associate Professor Stephanie Olson at Purdue’s Earth Atmosphere and Planetary Sciences department. Broadly my work involves using numerical climate models and machine learning to better understand exoplanet habitability. I have wonderful peers and mentors helping me achieve my goals and I am thrilled to have the support of the NSF GRFP as well. I am eager to take advantage of the new tools accessible to me now due to the NSF and I am confident this will aid in my ability to contribute great work within my field.”  

Mikail Habib Khan:   

“I'm a senior in Purdue Computer Science, working on Programming Languages research with some Physics Education work on the side. I want to eliminate incidental complexity from software engineering to make programming more productive and accessible. For fun I like skating, reading sci-fi/fantasy, and playing video games. I worked with Associate Professor Tiark Rompf on CS research and Professor Sanjay Rebello for physics. Assistant Professor Ben Delaware has also given me a ton of advice and told me to apply for the GRFP in the first place. To me, the GRFP means that I'll have more freedom to pursue my interests in grad school. I won't have to worry about finding a funded project, and I might be able to leverage it to more easily find visiting scholar positions. I'm starting a PhD at CMU, where there are a ton of advisors I'd love to work with. I might work on WebAssembly, Program Synthesis, or Verification.”  

Abigail Soliven  

“I am a senior earning my degree in chemistry on the ACS track and a minor in english. When not in the lab, I spend my time involved on campus or reading, soaking up sunshine, and making playlists. The NSF GRFP is a vote of confidence in my abilities as a researcher and the impact I can make in my field as a graduate student and beyond. Through the GRFP, I will be able to focus entirely on my work and advancing chemical knowledge by knowing I have the financial support and resources to be creative and inventive. I am pursuing a PhD in organic chemistry at UC Berkeley post-graduation from Purdue. Boiler up and go bears!”  

Stephanie DeLancey  

“I am graduating from Purdue with a BS  degree in chemistry (ACS) and a minor in psychology. I have worked in the Ren lab for three and a half years, studying iron-based organometallic complexes with applications in the catalysis and materials fields. I look forward to starting my PhD at UNC Chapel Hill in the fall where I will continue to pursue research themes rooted in sustainable chemistry. Being awarded an NSF GRFP was an incredible honor that greatly validated my potential as a researcher. I am so grateful to have been recognized by a prestigious institution and provided the financial support to pursue my research goals with greater freedom and focus in grad school. However, receiving this honor has also made me all the more thankful for my mentorship in the Ren group that shaped me into the scientist I am today.  Starting this summer, I will begin working towards my PhD in inorganic chemistry at UNC Chapel Hill. I hope to conduct impactful research with relevance to energy storage and conversion, potentially with the CHASE Solar Hub at UNC. I cannot wait to start my next chapter knowing the NSF GRFP will allow me to more freely explore these interests.”  

Grace Crim  

“I am majoring in biochemistry (Department of Chemistry) and electrical engineering. During my time at Purdue, I have been involved in research, WISP, WIE, and SWE, as well as first-generation student honors and ambassador programs. I am passionate about interdisciplinary research and involving multiple STEM communities to solve big research problems. The GRFP is an accomplishment that everyone in research recognizes. I learned about the prestige of the NSF GRFP in sophomore year, when the graduate student I was doing research under won the award herself. I was lucky to have incredible research advisors that helped me through learning about the fellowship application process and graduate school as a whole. Coming from financial need, having the financial freedom to pursue research without worrying about funding is a relief. My plans are to pursue a PhD in electrical and computer engineering from Georgia Institute of Technology. My goal is to design micro-scale sensors with biological processes and chemical detection in mind, specifically for wildlife monitoring and astrobiology. Lab on a chip technology is new and promising. I am hoping to diversify applications of this tech ethically and responsibly to help fields other than ECE. My PhD will consist of a lot of time in the semiconductor cleanroom and collaborating with researchers from other universities and national labs in many different fields. Purdue has prepared me well for this type of research and I can't wait to get started!”  

Daniel Hristov  

“I am originally from Knoxville, TN with backgrounds from Bulgaria and Puerto Rico. I have been completing research with Professor Julia Laskin’s group the past four years working with electrochemistry and mass spectrometry-based techniques to better understand the fundamentals of ions and charged interfaces. I really enjoyed working with my graduate mentor, Hugo and having meaningful discussions about the molecular dynamics of our systems. I am truly grateful to the valuable mentoring provided by Dr. Hugo Samayoa and Professor Julia Laskin, and the scientists I interned for at Pacific Northwest National Laboratory, Dr. Grant Johnson and Dr. Venky Prabhakaran, that allowed me to broaden horizons in my projects and think critically about results. This award has meant a great amount not only to myself as a scientist, but every scientist who has mentored and supported me throughout my four years. I will start my PhD in physical chemistry in the fall at the University of California Berkeley.”  

Addison Curtis:  

“I am a queer, disabled geologist currently working towards my master’s in earth science. My research in the Thermochronology @ Purdue Lab under Assistant Professor Marissa Tremblay focuses on using radioactive isotopes in specific minerals to determine the ages and thermal histories of rocks in the North Cascades, WA to better understand regional tectonic changes about 50 million years ago! Outside of my research, I am extremely passionate about geoscience education and increasing representation for both disabled and Queer individuals in geology and academia as a whole. I am extremely grateful to have received the NSF GRFP to support me through the rest of my graduate school career. I am honored to join a cohort of other Fellows and continue to strive for excellence in both science and outreach. Graduate school is difficult for anyone but especially for someone who holds my identities, so having this support helps to relieve some of that pressure. It is also extremely validating and encouraging to receive such an award, showing that despite my additional challenges, I am still an intelligent, capable scientist with potential to significantly impact my field. Since I am currently a master’s student, I plan on using the GRFP as support in my future PhD program. While I don’t know where I will be going next, this award allows me to be able to pursue the specific research that I am interested in at another institution without having to worry about the logistics of future funding.”   

Meenakshi McNamara  

“I am graduating with a math and physics double major, and I plan to become a professor someday. I am passionate about conducting research in these fields, as well as helping build community as I have been doing through club leadership and mentoring programs. In my free time, I love to read, write, and draw. You may also find me rock climbing or playing board games with friends. I am honored to have been awarded the NSF GRFP. Winning this fellowship means that the committee felt that I have the potential to become a strong graduate student and researcher, and this is very meaningful because my goal is to have a research career. Further, communicating pure math research well can be difficult, and I certainly learned important skills during the application process. Thus, it was amazing to see that these efforts paid off and I have more confidence in my ability to communicate about my research and apply for similar things in the future.”  

About the College of Science  

Purdue University’s College of Science is committed to the persistent pursuit of the mathematical and scientific knowledge that forms the very foundation of innovation. More than 350 tenure-track faculty conduct world-changing research and deliver a transformative education to more than 6,000 undergraduates and 1,750 graduate students. See how we develop practical solutions to today’s toughest challenges with degree programs in the life sciences, physical sciences, computational sciences, mathematics, and data science at www.purdue.edu/science .  

Purdue University College of Science, 150 N. University St, West Lafayette, IN 47907 • Phone: (765) 494-1729, Fax: (765) 494-1736

Student Advising Office: (765) 494-1771, Fax: (765) 496-3015 • Science IT , (765) 494-4488

© 2024 Purdue University | An equal access/equal opportunity university | Copyright Complaints

Trouble with this page? Disability-related accessibility issue ? Please contact the College of Science Webmaster .

• Liberty University
• Jerry Falwell Library
• Special Collections
• < Previous

Home > ETD > Doctoral > 5543

Doctoral Dissertations and Projects

Virtual coaching, self-directed learning, and the implementation of evidence-based practices: a single qualitative case study.

Elisabeth Myers , Liberty University Follow

School of Education

Doctor of Philosophy in Education (PhD)

Christine Saba

virtual coaching, self-directed learning, evidence-based practices, self-determination theory, sustained implementation

Disciplines

Education | Educational Leadership

Recommended Citation

Myers, Elisabeth, "Virtual Coaching, Self-Directed Learning, and the Implementation of Evidence-Based Practices: A Single Qualitative Case Study" (2024). Doctoral Dissertations and Projects . 5543. https://digitalcommons.liberty.edu/doctoral/5543

The purpose of this single instrumental case study was to understand how a virtual coaching program provides opportunities for self-directed learning during the implementation of evidence-based practices for adults at Navigator Coaching. The theory guiding this study was Deci and Ryan’s self-determination theory as conceptualizations of self-directed learning described in the literature mirror descriptions of self-determination. The central research question was: How does a virtual coaching program provide opportunities for self-directed learning during the implementation of evidence-based practices? As a single instrumental case, the setting for this study was one virtual life-coaching program in North America. The sample of participants included 12 adults who were currently enrolled in the program for a minimum of 6 months and participated in weekly program activities. Multiple data collection methods were employed to describe and understand the case: observations, audiovisual materials, and individual interviews. Interpretational analysis and a multistep data analysis process including direct interpretation, categorical aggregation, correspondence tables, and interpretive commentaries were utilized to develop the themes and overall synthesis of the case. Opportunities for self-directed learning were provided in weekly live sessions, modules in the program library, and in the Facebook group. Program members utilized instructional opportunities to satisfy their need for autonomy, thus becoming students of self. Participation in a purposeful community that was focused on solutions provided opportunities for program members to satisfy competence and relatedness needs. Program members implemented evidence-based practices and developed skills to create weekly learning plans, which assisted them in becoming agents of their highest selves.

Included in

Educational Leadership Commons

• Collections
• Faculty Expert Gallery
• Theses and Dissertations
• Conferences and Events
• Open Educational Resources (OER)
• Explore Disciplines

Advanced Search

• Notify me via email or RSS .

Faculty Authors

• Submit Research
• Expert Gallery Login

Student Authors

• Undergraduate Submissions
• Graduate Submissions
• Honors Submissions

Home | About | FAQ | My Account | Accessibility Statement

Privacy Copyright

• Accessibility Options:
• Skip to Content
• Skip to Search
• Skip to footer
• Office of Disability Services
• Request Assistance
• 305-284-2374
• High Contrast
• School of Architecture
• College of Arts and Sciences
• Miami Herbert Business School
• School of Communication
• School of Education and Human Development

College of Engineering

• School of Law
• Rosenstiel School of Marine, Atmospheric, and Earth Science
• Miller School of Medicine
• Frost School of Music
• School of Nursing and Health Studies
• The Graduate School
• Division of Continuing and International Education
• People Search
• Class Search
• IT Help and Support
• Privacy Statement
• Student Life
• University of Miami
• Division of University Communications
• Office of Media Relations
• Miller School of Medicine Communications
• Hurricane Sports
• UM Media Experts
• Emergency Preparedness
• Civil, Architectural and Environmental
• Electrical and Computer
• Mechanical and Aerospace

Departments

• Alumni & Giving
• Latest Headlines
• Subscribe to News@TheU Newsletter
• UM NEWS HOME

PhD student to research multi-functional artificial coral reefs with prestigious fellowship

By Lorena Taboas 05-16-2024

In an exceptional display of academic excellence and forward-thinking, graduate student Kylee Rux has been awarded one of the most prestigious fellowships in the U.S. scientific community: the National Defense Science and Engineering Graduate (NDSEG) Fellowship by the Department of Defense. This fellowship, funded for three years, will allow Kylee to explore the development of multi-functional artificial coral reefs.  

Inspired by early experiences in high school maintaining the classroom's saltwater aquariums, Rux developed a passion for addressing climate change, particularly its effects on the oceans. This led to a profound interest in combining engineering and marine science to create solutions that mitigate environmental impact. Rux’s interest was quickly piqued by the cement industry, known for its significant carbon emissions, but also for its unique potential.  

"Living in Miami, we are at the forefront of climate change and understand the urgency in protecting our coastlines," Rux explains. “I plan to investigate an artificial reef structure that mitigates wave impact and boosts biodiversity while extending the service life. A major area of interest is in exploring the reefs' multi-functional abilities towards enhanced resilience, such as self-healing.”  

Rux’s faculty advisor, civil and architectural engineering assistant professor, Prannoy Suraneni , is currently researching sustainable concretes. Green-gray solutions have been one of the main research focuses for the College of Engineering, aiming to find innovative solutions for shoreline protection and habitats for marine life to navigate climate change impacts.   

Over the next five years, Rux envisions continuing to develop solutions that reduce the impact of climate change, whether in academia or industry and hopes to mentor the next generation of innovators, particularly young girls.  

The Department of Defense NDSEG Fellowship is a highly competitive award given to students pursuing doctoral degrees in science and engineering disciplines. Sponsored by the U.S. Navy, U.S. Space Force, U.S. Air Force, and U.S. Army, the program aims to increase the number of U.S. citizens trained in disciplines of science and engineering of military importance.  

Rux was also awarded the prestigious National Science Foundation Graduate Research Fellowship (NSF GRFP) but chose to accept the Department of Defense Fellowship.  

Learn About Us

Undergraduate, ms, and phd, get started.

• 1251 Memorial Drive McArthur Engineering Building Coral Gables , FL 33146
• 305- 284-4117 305- 284-4117
• UM News and Events
• Alumni & Friends
• 'Cane Watch

Tools and Resources

• Academic Calendar
• Department Search
• Parking & Transportation
• social-facebook
• social-twitter
• social-youtube
• social-instagram

Copyright: 2024 University of Miami. All Rights Reserved. Emergency Information Privacy Statement & Legal Notices Title IX & Gender Equity Website Feedback

Individuals with disabilities who experience any technology-based barriers accessing the University’s websites or services can visit the Office of Workplace Equity and Inclusion .

RIT graduate pursues Ph.D. across time zones

Nastaran Nagshineh, center, defended her Ph.D. thesis at RIT in April. Faculty from RIT’s Rochester and Dubai campuses served on her thesis committee and include, from left to right, Kathleen Lamkin-Kennard, Steven Weinstein, Nathaniel Barlow, and David Kofke (a professor at the University at Buffalo). Mohamed Samaha participated remotely and appears on the video screen behind the group and alongside Nagshineh’s picture.

Nastaran Nagshineh is one of the first Ph.D. candidates to bridge RIT’s Rochester and Dubai campuses. Her accomplishment creates a path for future students at the university’s international campuses.

Nagshineh completed her Ph.D. in mathematical modeling while working full time as a mathematics lecturer at RIT Dubai in the United Arab Emirates, teaching as many as five classes a semester. She described her Ph.D. journey as “an exercise in perseverance” due to competing demands and long days. Rochester is eight hours behind Dubai, and the time difference meant many late-night classes and meetings.

“I saw this collaboration as an opportunity, rather than as a challenge, because my primary adviser, Dr. Steven Weinstein (RIT professor of chemical engineering), and my co-adviser, Dr. Mohamed Samaha (RIT Dubai associate professor of mechanical engineering), both have the same area of research interest,” she said. “They both worked toward my success.”

Nagshineh is one of 67 RIT Ph.D. students who defended their thesis this academic year and who will earn their doctorate. RIT awarded 63 Ph.D. degrees in 2023.

In 2020-2021, RIT’s Graduate School met and surpassed the university’s goal of conferring 50 Ph.D. degrees during an academic year. That number will continue to grow as students cycle through the seven new Ph.D. programs that RIT has added since 2017, said Diane Slusarski , dean of RIT’s Graduate School.

Meeting these goals puts RIT on a path toward achieving an “R1,” or research-intensive designation, from the Carnegie Classification of Institutions of Higher Learning. RIT is currently ranked as an R2 institution . Many factors go into changing a university’s status, including research investment and maintaining a three-year average of 70 Ph.D. degrees awarded per year, according to Slusarski.

“We have met the goals of the strategic plan, and now we look forward to contributing to the research innovation in the future,” Slusarski said. “We want to help the new programs thrive and win national research awards.”

RIT’s emphasis on high-level research is seen in Nagshineh’s Ph.D. work. She applies mathematical modeling to the field of fluid dynamics. Her research has been published in top-tier journals and has gained notice, said Weinstein, her thesis adviser.

Weinstein describes Nagshineh’s accomplishments as “a testament to a fantastic work ethic and commitment” and is inspirational to younger students at Rochester and Dubai.

“The collaboration between RIT Dubai/Rochester has continued,” he said. “Another paper was submitted a few weeks ago with Mohamed Samaha and Nate Barlow (RIT associate professor in the School of Mathematics and Statistics) as co-authors, as well as Cade Reinberger, a younger Ph.D. student in my research group.”

Mathematical modeling is one of RIT’s newer Ph.D. degree programs, and Nagshineh is among its earliest graduates. The program has doubled in size since it began accepting students in 2017, Slusarski said. This past fall, the mathematical modeling program had 35 students, with two graduating this year.

Altogether, RIT has 13 Ph.D. degree programs currently enrolling 438 students, with computing and information sciences accounting for the largest with 117 students. RIT’s other Ph.D. programs include astrophysical sciences and technology , biomedical and chemical engineering , business administration , color science , electrical and computer engineering, imaging science , mechanical and industrial engineering , microsystems engineering , and sustainability .

New programs in cognitive science and physics will launch in the fall.

The growth in RIT graduate education—with more than 3,000 master’s and doctoral students—reflects a demographic change in the student population, Slusarski said. “We have a higher percentage of women in the graduate programs than we have for RIT undergraduate programs.”

RIT’s graduate programs enroll 42 percent women, according to Christie Leone , assistant dean for the Graduate School.

Nagshineh, who also holds an MS in electrical engineering from RIT Dubai, welcomes her role as a mentor to other women students on both campuses.

“As a young woman in an Arabic country, the power of women is often underestimated and undervalued, and I hope to serve as a role model to female students, especially those that question their path,” Nagshineh said.

She plans to continue in her career as a professor and a researcher. “I would like to pursue a research program where I can advise my own students and teach them more deeply.”

Recommended News

May 17, 2024

Top Teacher: Minnetonka sign language teacher Dr. Tracy Ivy   

KMSP-TV selects Tracy Ivy '09 (secondary education for students who are deaf or hard of hearing) as a Top Teacher.

May 16, 2024

Kim Shearer’s passion for planning spans five decades at RIT

Kim Shearer's journey at RIT, marked by strategic planning and dedication, led to pivotal roles in shaping the university's computing college, spearheading expansions, fostering diversity, and leaving behind unique touches like binary code lights and cryptic messages within the campus architecture.

May 15, 2024

RIT student-faculty developed video game ‘That Damn Goat’ now available for purchase on Nintendo Switch console

A video game created by RIT students and faculty has reached a long-awaited milestone. That Damn Goat , developed and published through RIT’s MAGIC Spell Studios, is now available for purchase on the popular Nintendo Switch gaming console.

RIT researchers expect a rise in deepfake use in political campaigns   

Spectrum News interviews Christopher Schwartz, research scientist in the Department of Cybersecurity, and Kelly Wu, computing and information sciences Ph.D. student, about generating and detecting artificial intelligence deepfakes.