Research Methods Course

Lesson 1 • Epistemology and Research Paradigms

Introduces positivism, interpretivism, and pragmatism as philosophical foundations. Connects paradigm choice to methodology and knowledge claims.

Lesson 2 • Nature and Purpose of Research

Defines research as structured knowledge generation and contrasts it with opinion or anecdote. Establishes why rigorous methodology matters for credible findings.

Lesson 3 • Types and Classifications of Research

Maps the landscape of research by purpose, approach, and time horizon. Enables students to categorize studies encountered in literature.

Lesson 4 • The Research Process Overview

Presents the end-to-end sequence from problem identification to dissemination. Shows how each stage feeds the next to maintain logical coherence.

Lesson 1 • Identifying a Research Problem

Guides students from broad topic interest to a specific, bounded problem statement. Emphasizes gap identification as the driver of original research.

Lesson 2 • Defining Research Objectives and Scope

Translates research questions into actionable objectives and sets realistic study boundaries. Prevents scope creep and aligns effort with available resources.

Lesson 3 • Developing Hypotheses

Explains hypothesis construction for quantitative studies and its role in deductive reasoning. Covers null, alternative, and directional hypothesis forms.

Lesson 1 • Building a Theoretical Framework

Shows how existing theories anchor study variables and guide interpretation. Distinguishes theoretical from conceptual frameworks.

Lesson 2 • Writing and Structuring the Literature Review

Provides structural templates and writing strategies for a publication-ready review. Addresses citation management and avoiding plagiarism.

Lesson 3 • Searching and Sourcing Literature

Builds competency in database searching, keyword strategy, and source evaluation. Ensures students locate high-quality, relevant evidence efficiently.

Lesson 4 • Purpose and Types of Literature Reviews

Distinguishes narrative, systematic, and scoping reviews by purpose and rigor. Clarifies how each review type serves different research goals.

Lesson 1 • Non-Experimental Quantitative Designs

Covers survey, correlational, and causal-comparative designs for observational data. Clarifies what causal claims are and are not warranted.

Lesson 2 • Core Elements of Research Design

Defines design as the logical plan connecting questions to conclusions. Covers the interplay of purpose, strategy, and data collection method.

Lesson 3 • Qualitative Research Designs

Introduces phenomenology, grounded theory, ethnography, and case study as distinct traditions. Matches each design to appropriate research questions.

Lesson 4 • Experimental and Quasi-Experimental Designs

Explains randomization, control groups, and causal inference in true experiments. Covers quasi-experimental alternatives when randomization is not feasible.

Lesson 1 • Probability Sampling Methods

Covers simple random, systematic, stratified, and cluster sampling with worked examples. Explains when each method maximizes representativeness.

Lesson 2 • Non-Probability Sampling Methods

Presents purposive, snowball, convenience, and quota sampling for qualitative and exploratory work. Addresses limitations and transferability concerns.

Lesson 3 • Populations, Samples, and Sampling Frames

Defines target population, accessible population, and sampling frame relationships. Establishes why sampling decisions affect generalizability.

Lesson 1 • Data Management and Preparation

Covers data entry, coding, cleaning, and storage protocols for quantitative datasets. Establishes practices that ensure data integrity throughout analysis.

Lesson 2 • Structured Observation and Existing Data

Explains systematic observation protocols and secondary data sources for quantitative research. Covers coding schemes and data extraction procedures.

Lesson 3 • Instrument Validity and Reliability Testing

Applies content, construct, and criterion validity tests alongside reliability coefficients. Prepares students to pilot-test and refine instruments before full deployment.

Lesson 4 • Survey and Questionnaire Design

Covers question types, wording, sequencing, and format for self-administered surveys. Addresses common design flaws that introduce response bias.

Lesson 1 • Focus Groups and Group Methods

Explains focus group design, facilitation, and analysis for collective meaning-making. Addresses moderator skills and managing group dynamics.

Lesson 2 • Participant Observation and Field Research

Covers observer roles, field note writing, and reflexivity in naturalistic settings. Connects ethnographic observation to grounded theory and case study designs.

Lesson 3 • Qualitative Interviewing Techniques

Develops skills for designing and conducting semi-structured and unstructured interviews. Covers probing, active listening, and managing interview dynamics.

Lesson 4 • Qualitative Data Analysis Methods

Teaches thematic analysis, content analysis, and grounded theory coding procedures. Moves students from raw transcripts to interpretive themes.

Lesson 1 • Comparing Groups and Relationships

Applies t-tests, ANOVA, chi-square, and correlation to answer comparative and relational questions. Covers assumptions and when to use non-parametric alternatives.

Lesson 2 • Reporting and Interpreting Quantitative Results

Guides students in presenting statistical results in tables, figures, and narrative form. Emphasizes practical significance alongside statistical significance.

Lesson 3 • Regression Analysis

Teaches simple and multiple linear regression for prediction and explanation. Covers model assumptions, diagnostics, and interpretation of coefficients.

Lesson 4 • Descriptive Statistics and Data Exploration

Covers measures of central tendency, dispersion, and distribution shape for initial data exploration. Establishes the foundation for inferential analysis.