SECTION 2: INTRODUCTION TO RESEARCH

2.1 Definition and Core Concepts

Research is a systematic inquiry that uses rigorous methods to answer specific questions or solve problems.

Purposes:

• Generate new knowledge

• Test hypotheses

• Solve real-world problems

Types of Research:

• Basic vs. Applied

• Quantitative vs. Qualitative vs. Mixed-methods

SECTION 3: RESEARCH PROPOSAL DEVELOPMENT

3.1 The Research Process

1. Topic identification

2. Literature review

3. Formulating research questions/hypotheses

4. Designing methodology

5. Data collection

6. Data analysis

7. Report writing and dissemination

3.2 Components of a Proposal

• Title

• Abstract

• Background/Introduction

• Problem Statement

• Rationale/Justification

• Objectives: General and specific

• Hypothesis (quantitative studies)

• Research Questions

• Limitations/Delimitations

• Conceptual Framework

3.3 Literature Review

• Sources: Peer-reviewed journals, books, grey literature

• Purposes: Identify gaps, frame research, avoid duplication

• Qualities: Current, relevant, critical, thematic

SECTION 4: RESEARCH METHODOLOGY

4.1 Study Design

• Observational: Cross-sectional, cohort, case-control

• Experimental: Randomized controlled trials

• Qualitative: Grounded theory, ethnography, case studies

4.2 Study Area & Population

• Clearly define geographical and demographic scope

• Target vs. Accessible Population

4.3 Sampling

• Sampling Frame: List of accessible units

• Techniques:

  • Probability (simple random, stratified, cluster)

  • Non-probability (convenience, purposive)

• Pilot Study: Tests feasibility, tools, time estimates

SECTION 5: ETHICAL CONSIDERATIONS

• Informed Consent

• Confidentiality and Data Protection

• Beneficence, Non-maleficence, Justice

• IRB Approval

SECTION 6: DATA COLLECTION & ANALYSIS

6.1 Tools and Instruments

• Structured questionnaires

• Interview guides

• Observation checklists

6.2 Validity and Reliability

• Validity: Construct, content, criterion-related

• Reliability: Test-retest, inter-rater, internal consistency (Cronbach's alpha)

6.3 Data Analysis

• Quantitative: Descriptive and inferential statistics (t-tests, chi-square, regression)

• Qualitative: Coding, thematic analysis, NVivo

SECTION 7: PRESENTATION AND REPORT WRITING

7.1 Data Presentation

• Tables: Simple and cross-tabulated

• Graphs: Line, pie, bar, histograms

7.2 Report Structure

• Abstract

• Introduction

• Methods

• Results

• Discussion

• Conclusion

• Recommendations

• References (APA, Vancouver, Harvard, etc.)

7.3 Budget and Work Plan

• Budget: Personnel, materials, software, transport

• Work Plan: Gantt chart with timelines for tasks