Introduction to Research Methodology - Research Methodology | Lecture Notes - YNetStudyHub
Research Methodology

Introduction to Research Methodology

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An overview of research methodology, including its importance, different types of research, and the research process.

Introduction to Research Methodology
(A concise, structured guide for students and beginners)


1. What Is Research Methodology?

Aspect Definition
Research Systematic investigation aimed at generating new knowledge or solving a problem.
Methodology The overall strategy, logic, and rationale that guides the selection and use of specific research methods.
Method The concrete tools and techniques (e.g., surveys, experiments, interviews) used to collect and analyze data.

Key Idea: Methodology = the “why” and “how” behind the choice of methods.


2. Core Components of a Research Design

  1. Research Problem / Question

    • Clear, focused, and researchable.
    • Often expressed as “What…?”, “Why…?”, or “How…?”
  2. Literature Review

    • Critical summary of existing knowledge.
    • Identifies gaps, justifies the study, and frames hypotheses.
  3. Theoretical Framework

    • Set of concepts and propositions that anchor the study.
    • Guides variable selection and interpretation.
  4. Research Objectives / Hypotheses

    • Objectives: Broad goals (e.g., “to assess…”)
    • Hypotheses: Testable statements (e.g., “H₁: X positively affects Y”).
  5. Research Strategy / Design

    • Qualitative, Quantitative, or Mixed‑methods.
    • Cross‑sectional, Longitudinal, Experimental, Descriptive, etc.
  6. Sampling Plan

    • Population → Sample
    • Techniques: probability (simple random, stratified) vs. non‑probability (convenience, purposive).
    • Sample size considerations (power analysis, saturation).
  7. Data Collection Methods

    • Instruments: questionnaires, interview guides, observation protocols, archival records.
    • Mode: face‑to‑face, online, telephone, sensors.
  8. Data Analysis Procedures

    • Quantitative: descriptive stats, inferential tests (t‑test, ANOVA, regression, SEM).
    • Qualitative: coding, thematic analysis, content analysis, grounded theory.
    • Mixed: integration of numeric and narrative results.
  9. Validity & Reliability / Trustworthiness

    • Quantitative: internal/external validity, reliability (Cronbach’s α).
    • Qualitative: credibility, transferability, dependability, confirmability.
  10. Ethical Considerations

    • Informed consent, anonymity, confidentiality, risk minimization, Institutional Review Board (IRB) approval.
  11. Reporting & Dissemination

    • Structure: Introduction, Methods, Results, Discussion, Conclusion.
    • Formats: journal article, thesis, conference paper, policy brief.

3. Types of Research Approaches

Approach Purpose Typical Methods Example
Quantitative Test hypotheses, measure relationships Surveys, experiments, secondary data analysis Survey of 1,000 consumers to test price elasticity
Qualitative Explore meanings, develop theory Interviews, focus groups, participant observation Ethnographic study of workplace culture
Mixed‑Methods Combine strengths of both Sequential explanatory, concurrent triangulation Survey followed by focus groups to explain unexpected findings

4. Common Research Designs

Design When to Use Key Features
Descriptive To describe characteristics of a population Cross‑section
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Unit Syllabus 10 Topics
Introduction to Research Methodology
Research Design
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Sampling Methods
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Data Collection Techniques
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Data Analysis
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Ethical Considerations in Research
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Research Validity and Reliability
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Writing Research Proposals
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Literature Review
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Presenting Research Findings
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