Chapter 3: Methodology

Purpose of Chapter 3

The methodology chapter provides a detailed blueprint of your research design and procedures. It should be comprehensive enough that another researcher could replicate your study. This chapter demonstrates your understanding of research methods and justifies your methodological choices.

Section Breakdown

Research Design

  • • State your research paradigm (positivist, interpretivist, pragmatist)
  • • Identify approach (quantitative, qualitative, mixed methods)
  • • Specify design type (experimental, survey, case study, etc.)
  • • Justify why this design addresses your research questions

Population and Sampling

  • • Define your target population
  • • Explain sampling frame and technique
  • • Justify sample size with power analysis or saturation
  • • Describe inclusion/exclusion criteria

Data Collection

  • • Detail instruments (surveys, interview protocols)
  • • Establish validity and reliability
  • • Describe pilot testing procedures
  • • Explain data collection timeline and process

Data Analysis Plan

  • • Specify analysis techniques for each research question
  • • Describe statistical tests or coding procedures
  • • Explain data preparation and cleaning
  • • Address assumptions and limitations

Research Approach Comparison

AspectQuantitativeQualitativeMixed Methods
PurposeTest hypothesesExplore phenomenaComprehensive understanding
Sample SizeLarge (n>30)Small (n=5-25)Varies by phase
AnalysisStatisticalThematicBoth

Ethical Considerations

  • IRB Approval: Obtain before data collection
  • Informed Consent: Clear, voluntary participation
  • Confidentiality: Protect participant identity
  • Data Security: Secure storage and disposal plans
  • Risk Mitigation: Address potential harm to participants

Sample Size Guidelines

Quantitative Studies:

  • • Regression: 10-20 cases per variable
  • • Factor analysis: 5-10 cases per item
  • • Survey research: Use power analysis (G*Power)

Qualitative Studies:

  • • Phenomenology: 5-25 participants
  • • Case study: 1-10 cases
  • • Grounded theory: 20-30 participants

Validity and Reliability

Quantitative

  • • Internal validity
  • • External validity
  • • Construct validity
  • • Reliability (Cronbach's α > 0.7)

Qualitative

  • • Credibility
  • • Transferability
  • • Dependability
  • • Confirmability

Common Pitfalls

  • 🚫 Misalignment: Methods don't match research questions
  • 🚫 Insufficient Detail: Not enough information for replication
  • 🚫 Weak Justification: Not explaining why you chose specific methods
  • 🚫 Missing Limitations: Not acknowledging methodological constraints