Research Methodology Course

Lesson 1 • The Research Process Overview

Maps the end-to-end research cycle from problem identification to dissemination. Provides a roadmap that frames every subsequent chapter in the course.

Lesson 2 • Nature and Purpose of Research

Defines research, its goals, and its role in advancing knowledge across disciplines. Establishes the vocabulary and mindset needed for all subsequent methodological study.

Lesson 3 • Research Paradigms and Worldviews

Introduces positivism, interpretivism, pragmatism, and critical theory as philosophical foundations. Connects paradigm choice to methodology selection throughout the course.

Lesson 1 • Identifying and Narrowing a Research Problem

Guides students from broad topic areas to specific, researchable problems. Connects problem clarity to feasibility and significance of the study.

Lesson 2 • Developing Hypotheses and Objectives

Explains the role of hypotheses in quantitative research and objectives in qualitative work. Students practice translating questions into testable or explorable statements.

Lesson 3 • Crafting Research Questions

Teaches criteria for well-formed research questions aligned with paradigm and purpose. Strong questions directly shape design choices covered in later chapters.

Lesson 1 • Purpose and Types of Literature Reviews

Explains why literature reviews are essential and distinguishes narrative, systematic, and scoping reviews. Sets expectations for the depth and rigor required in academic research.

Lesson 2 • Critical Appraisal of Sources

Teaches frameworks for evaluating methodological quality, credibility, and relevance of sources. Critical appraisal skills prevent weak evidence from undermining the research argument.

Lesson 3 • Searching and Managing Sources

Covers database search strategies, Boolean operators, and reference management tools. Efficient source management directly supports the synthesis tasks in later sections.

Lesson 1 • Writing the Research Design Rationale

Guides students in articulating and defending design choices in a written proposal section. Connects design decisions back to the research questions and paradigm established earlier.

Lesson 2 • Qualitative Research Designs

Introduces phenomenology, grounded theory, ethnography, case study, and narrative inquiry. Each design is linked to specific epistemological assumptions and data collection methods.

Lesson 3 • Core Research Design Concepts

Defines research design as the logical plan linking questions to conclusions. Establishes validity, reliability, and rigor as design evaluation criteria used throughout the course.

Lesson 4 • Mixed Methods Research Designs

Explains convergent, explanatory sequential, and exploratory sequential mixed designs. Students learn when integration of methods adds value beyond single-approach studies.

Lesson 1 • Non-Probability Sampling Methods

Explains purposive, snowball, convenience, and quota sampling for qualitative and exploratory work. Students recognize when non-probability methods are appropriate and how to justify them.

Lesson 2 • Sample Size Determination

Teaches power analysis for quantitative studies and saturation principles for qualitative work. Students calculate or estimate required sample sizes for their own research designs.

Lesson 3 • Probability Sampling Methods

Covers simple random, systematic, stratified, and cluster sampling with procedural steps. Students select the method that best balances precision and practical constraints.

Lesson 1 • Surveys and Questionnaires

Covers question types, scale construction, and survey administration modes. Well-designed surveys reduce measurement error and improve data quality for analysis.

Lesson 2 • Secondary Data and Document Analysis

Explains how to locate, evaluate, and extract data from existing records, archives, and datasets. Secondary data extends research scope while reducing data collection costs and time.

Lesson 3 • Interviews and Focus Groups

Teaches structured, semi-structured, and unstructured interview design and focus group facilitation. These methods generate rich qualitative data aligned with interpretive research designs.

Lesson 4 • Validity and Reliability of Instruments

Covers face, content, construct, and criterion validity alongside internal consistency and test-retest reliability. Instrument quality directly determines the credibility of findings.

Lesson 1 • Qualitative Data Analysis

Covers thematic analysis, coding procedures, and constant comparative methods for qualitative data. Students develop codebooks and construct themes grounded in participant data.

Lesson 2 • Mixed Methods Data Integration

Explains joint display, meta-inference, and transformation strategies for integrating quantitative and qualitative findings. Integration produces insights neither strand alone can generate.

Lesson 3 • Advanced Quantitative Analysis

Introduces multiple regression, factor analysis, and structural equation modeling for complex research questions. Students interpret outputs and assess model fit and assumptions.

Lesson 4 • Preparing and Cleaning Data

Covers data entry, coding, missing value treatment, and outlier detection before analysis begins. Clean data is a prerequisite for valid quantitative and qualitative analysis.

Lesson 1 • Academic Integrity and Plagiarism

Defines plagiarism, self-plagiarism, fabrication, and falsification and explains prevention strategies. Integrity standards apply to every stage of writing and publication.

Lesson 2 • Research Ethics Principles and Compliance

Covers informed consent, confidentiality, beneficence, and justice as core ethical principles. Ethical compliance protects participants and ensures research integrity across all designs.

Lesson 3 • Structuring the Research Report

Guides students through IMRaD structure, abstract writing, and section-specific conventions. A well-structured report communicates findings clearly to reviewers and readers.