
University Research Methodology Course
Master the full research process — from formulating a research question to publishing your findings. This course gives you the methodological foundation every serious academic researcher needs. Whether you're writing your first proposal or refining your dissertation design, you'll gain the skills to produce credible, rigorous, and publishable research.
What you will learn:
You will learn how to identify a research problem, develop precise research questions, and select a methodology that fits your study goals. The course covers quantitative, qualitative, and mixed methods designs, along with sampling strategies and data collection techniques. You will build hands-on skills in both statistical and qualitative data analysis, and learn how to evaluate and synthesise existing literature. Research ethics, academic integrity, and institutional review procedures are covered in depth. By the end, you will know how to write a compelling research proposal and structure your findings for academic publication.
How you study in practice University Research Methodology Course
How you practise University Research Methodology Course
For companies looking to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Research Methodology
Foundations of Research Methodology
Lesson 1 • Types of Research Explained
Classifies research by purpose, approach, and time dimension. Learners map each type to appropriate disciplinary contexts.
Lesson 2 • Nature and Purpose of Research
Defines research as a systematic inquiry process and contrasts it with informal investigation. Grounds learners in why methodology matters for credible knowledge production.
Lesson 3 • Philosophical Foundations of Inquiry
Introduces ontology, epistemology, and axiology as pillars of research philosophy. Learners connect worldview assumptions to methodology selection.
Lesson 4 • The Research Process Overview
Maps the end-to-end research cycle from problem identification to dissemination. Provides a navigational framework for all subsequent chapters.
Chapter 2HideHide detailsSee detailsFormulating Research Problems and Questions
Formulating Research Problems and Questions
Lesson 1 • Hypotheses and Propositions
Explains when hypotheses are appropriate and how to formulate null and alternative forms. Connects hypothesis use to quantitative and mixed designs.
Lesson 2 • Evaluating Research Feasibility
Assesses practical constraints including time, access, and resources before committing to a study. Learners apply a feasibility checklist to their own questions.
Lesson 3 • Developing Aims and Objectives
Distinguishes research aims from objectives and links both to the research question. Learners write measurable objectives aligned with study scope.
Lesson 4 • Crafting Research Questions
Teaches criteria for well-formed research questions: clarity, focus, and answerability. Learners practice rewriting weak questions into strong ones.
Lesson 5 • Identifying a Research Problem
Guides learners from broad topic interest to a clearly bounded problem statement. Emphasises gap identification through literature scanning.
Chapter 3HideHide detailsSee detailsConducting a Literature Review
Conducting a Literature Review
Lesson 1 • Writing the Literature Review
Structures the written review with a logical argument that culminates in the research gap. Learners apply citation norms and avoid common writing pitfalls.
Lesson 2 • Synthesising and Mapping Literature
Moves beyond summarising to identifying themes, contradictions, and gaps across sources. Learners build concept maps and thematic matrices.
Lesson 3 • Purpose and Types of Literature Reviews
Explains why literature reviews are essential and distinguishes narrative, systematic, and scoping types. Sets expectations for depth and rigour.
Lesson 4 • Evaluating Source Quality
Applies criteria for assessing credibility, currency, and relevance of sources. Learners distinguish peer-reviewed from grey literature.
Lesson 5 • Searching Academic Databases
Teaches structured search strategies using Boolean operators, filters, and controlled vocabulary. Learners execute reproducible searches across multiple databases.
Chapter 4HideHide detailsSee detailsResearch Ethics and Academic Integrity
Research Ethics and Academic Integrity
Lesson 1 • Confidentiality and Data Privacy
Explains anonymisation, pseudonymisation, and secure data storage obligations. Learners map data flows and identify privacy risks in their research plan.
Lesson 2 • Institutional Review and Approval
Describes the institutional ethics review process and criteria for exempt, expedited, and full review. Learners complete a mock ethics application.
Lesson 3 • Informed Consent and Participant Rights
Covers elements of valid informed consent and special protections for vulnerable populations. Learners draft a consent form for their own study.
Lesson 4 • Core Principles of Research Ethics
Introduces autonomy, beneficence, non-maleficence, and justice as foundational ethical principles. Learners apply each principle to a case study scenario.
Lesson 5 • Academic Integrity and Research Misconduct
Defines fabrication, falsification, plagiarism, and questionable research practices. Learners use detection tools and apply citation standards to their work.
Chapter 5HideHide detailsSee detailsResearch Design and Strategy
Research Design and Strategy
Lesson 1 • Validity, Reliability, and Trustworthiness
Defines internal and external validity for quantitative studies and credibility criteria for qualitative ones. Learners apply quality criteria to their chosen design.
Lesson 2 • Research Design Fundamentals
Defines research design as the blueprint linking questions, data, and analysis. Distinguishes design from method and methodology.
Lesson 3 • Qualitative Research Designs
Examines phenomenology, grounded theory, ethnography, and case study as distinct traditions. Learners match design to epistemological stance.
Lesson 4 • Mixed Methods Research Design
Explains rationale for combining quantitative and qualitative strands and major integration strategies. Learners diagram convergent and sequential designs.
Lesson 5 • Quantitative Research Designs
Covers experimental, quasi-experimental, and survey designs with their internal validity strengths. Learners evaluate when each design is appropriate.
Chapter 6HideHide detailsSee detailsSampling Strategies and Participant Selection
Sampling Strategies and Participant Selection
Lesson 1 • Sampling Concepts and Terminology
Defines population, sampling frame, and sample and explains how sampling error arises. Establishes the vocabulary used throughout the chapter.
Lesson 2 • Probability Sampling Methods
Explains simple random, stratified, cluster, and systematic sampling with procedural steps. Learners calculate basic sampling probabilities.
Lesson 3 • Sampling Bias and Quality Control
Identifies common sampling biases and strategies to detect and minimise them. Learners audit a sample plan for potential bias sources.
Lesson 4 • Determining Sample Size
Introduces power analysis for quantitative studies and saturation for qualitative ones. Learners apply formulas and heuristics to their own research context.
Lesson 5 • Non-Probability Sampling Methods
Covers purposive, snowball, convenience, and theoretical sampling and their appropriate contexts. Learners justify non-probability choices for qualitative studies.
Chapter 7HideHide detailsSee detailsData Collection Methods and Instruments
Data Collection Methods and Instruments
Lesson 1 • Document and Secondary Data Analysis
Covers locating, authenticating, and systematically analysing existing documents and datasets. Learners apply content analysis to a sample document set.
Lesson 2 • Instrument Validity and Reliability Testing
Applies face, content, construct, and criterion validity tests to instruments. Learners calculate inter-rater reliability and Cronbach's alpha for their tools.
Lesson 3 • Interview Methods and Protocols
Distinguishes structured, semi-structured, and unstructured interviews and guides protocol development. Learners practice probing techniques and active listening.
Lesson 4 • Observation and Field Methods
Explains participant and non-participant observation roles and structured observation schedules. Learners design an observation protocol for a defined setting.
Lesson 5 • Survey and Questionnaire Design
Covers question types, scale construction, and layout principles for self-administered surveys. Learners draft and critique a questionnaire for clarity and validity.
Chapter 8HideHide detailsSee detailsQuantitative and Qualitative Data Analysis
Quantitative and Qualitative Data Analysis
Lesson 1 • Descriptive Statistical Analysis
Applies measures of central tendency, dispersion, and frequency distributions to summarise data. Learners produce and interpret basic descriptive tables and charts.
Lesson 2 • Preparing Data for Analysis
Covers data cleaning, coding, and entry procedures for both quantitative and qualitative datasets. Learners identify and handle missing data and outliers.
Lesson 3 • Qualitative Data Analysis Approaches
Covers thematic analysis, content analysis, and grounded theory coding procedures. Learners code a transcript and develop a preliminary thematic framework.
Lesson 4 • Interpreting and Presenting Findings
Guides learners from raw results to meaningful interpretation linked to research questions. Learners practice writing results sections with appropriate hedging language.
Lesson 5 • Inferential Statistical Analysis
Introduces hypothesis testing, t-tests, ANOVA, correlation, and regression for quantitative data. Learners select tests based on data type and research question.
Your valid completion certificate
This course is for you:
Graduate students: preparing to design and defend original thesis research.
Early-career academics: building a rigorous foundation for independent scholarly work.
Research assistants: seeking to move beyond task execution into study design.
Policy analysts: needing systematic methods to produce evidence-based recommendations.
Healthcare professionals: pursuing formal research skills for clinical or public health studies.
Career changers: transitioning into research-intensive roles across academic or applied sectors.
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