Basic Research Methodology Course

Lesson 1 • Nature and Purpose of Research

Defines research as systematic inquiry and contrasts it with opinion or anecdote. Anchors the chapter by establishing why methodology matters.

Lesson 2 • Paradigms and Worldviews

Introduces positivism, interpretivism, and pragmatism as philosophical stances. Shows how paradigm choice shapes every methodological decision.

Lesson 3 • Types of Research

Classifies research by purpose, approach, and time horizon. Enables students to select the appropriate type for a given problem.

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.

Lesson 1 • Writing the Research Proposal

Synthesises problem, questions, and framework into a structured proposal document. Prepares students for formal research planning and approval.

Lesson 2 • Conceptual and Theoretical Frameworks

Explains how existing theory structures a study and positions it in the literature. Frameworks link concepts to observable variables.

Lesson 3 • Developing Hypotheses and Objectives

Distinguishes hypotheses from research questions and objectives. Demonstrates how each guides data collection and analysis planning.

Lesson 4 • Identifying a Research Problem

Guides students from broad topic areas to specific, researchable gaps. Connects problem identification to the research cycle introduced in Chapter 1.

Lesson 1 • Searching Academic Databases

Teaches structured search strategies using Boolean logic and controlled vocabulary. Efficient searching ensures comprehensive and reproducible literature coverage.

Lesson 2 • Writing the Literature Review

Translates synthesis into a structured, argumentative narrative. Proper academic writing conventions and citation styles are applied throughout.

Lesson 3 • Evaluating Source Quality

Applies criteria such as peer review, currency, and methodological rigour to sources. Critical evaluation prevents weak evidence from undermining the study.

Lesson 4 • Purpose and Types of Literature Reviews

Distinguishes narrative, systematic, and scoping reviews by purpose and rigour. Establishes the review as a foundation for research design.

Lesson 1 • Qualitative Research Designs

Introduces phenomenology, grounded theory, ethnography, and case study designs. Each design is matched to specific interpretive research purposes.

Lesson 2 • Aligning Design with Questions

Applies a decision framework to match design type to research questions and paradigm. Prevents misalignment that undermines study validity.

Lesson 3 • Logic of Research Design

Explains how design bridges research questions and evidence. Introduces validity, reliability, and rigour as design quality criteria.

Lesson 4 • Mixed Methods Designs

Explains convergent, explanatory sequential, and exploratory sequential designs. Mixed methods address complex questions requiring both numeric and narrative data.

Lesson 1 • Sampling in Mixed Methods Studies

Addresses joint and sequential sampling decisions across quantitative and qualitative strands. Integration of samples must align with the overall mixed methods design.

Lesson 2 • Sample Size Determination

Introduces power analysis for quantitative studies and saturation for qualitative studies. Adequate sample size is essential for valid and credible findings.

Lesson 3 • Non-Probability Sampling Methods

Examines purposive, snowball, convenience, and quota sampling for qualitative and exploratory work. Appropriate use prevents overgeneralisation of findings.

Lesson 4 • Probability Sampling Methods

Covers simple random, systematic, stratified, and cluster sampling with procedural steps. Probability methods support statistical inference and external validity.

Lesson 1 • Document and Secondary Data Analysis

Explains how existing documents, records, and datasets serve as primary data sources. Secondary data reduces cost and enables large-scale or historical analysis.

Lesson 2 • Interviews and Focus Groups

Distinguishes structured, semi-structured, and unstructured interviews and group dynamics in focus groups. These methods generate rich, contextual qualitative data.

Lesson 3 • Instrument Validity and Reliability

Applies content, construct, and criterion validity alongside reliability measures to instruments. Rigorous validation ensures instruments measure what they intend to measure.

Lesson 4 • Observation Methods

Introduces participant and non-participant observation with structured and unstructured protocols. Observation captures behaviour in natural settings without self-report bias.

Lesson 1 • Inferential Statistics Fundamentals

Introduces hypothesis testing, p-values, confidence intervals, and Type I/II errors. These concepts underpin all inferential decisions in quantitative research.

Lesson 2 • Common Statistical Tests

Applies t-tests, ANOVA, chi-square, and correlation to appropriate research scenarios. Correct test selection depends on data type and research question structure.

Lesson 3 • Data Preparation and Cleaning

Covers coding, entry, and cleaning procedures to ensure data integrity before analysis. Clean data is a prerequisite for valid statistical results.

Lesson 4 • Descriptive Statistics

Applies measures of central tendency, dispersion, and distribution shape to summarise data. Descriptive statistics provide the foundation for inferential analysis.

Lesson 1 • Writing and Presenting Qualitative Findings

Guides construction of findings sections using quotes, themes, and interpretive commentary. Clear presentation allows readers to assess the credibility of conclusions.

Lesson 2 • Thematic and Content Analysis

Applies coding, theme development, and pattern recognition to textual data. Thematic analysis is the most widely used qualitative analytical approach.

Lesson 3 • Principles of Qualitative Analysis

Establishes inductive reasoning, reflexivity, and thick description as core qualitative principles. These principles distinguish qualitative rigour from quantitative validity.

Lesson 4 • Narrative and Discourse Analysis

Examines how stories and language construct meaning in qualitative data. These approaches suit research on identity, experience, and social processes.