Introduction to Research Methods in Mental Health - Research Methods In Mental Health | Lecture Notes - YNetStudyHub
Research Methods In Mental Health

Introduction to Research Methods in Mental Health

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An overview of the importance of research methods in mental health, including the different types of research designs and methodologies commonly used in the field.

Introduction to Research Methods in Mental Health
Key concepts, designs, and practical considerations for studying psychological well‑being, disorders, and treatment outcomes.


1. Why Research Methods Matter in Mental Health

Purpose Example
Identify risk & protective factors Longitudinal study of childhood trauma and adult depression
Test efficacy of interventions Randomized Controlled Trial (RCT) of CBT vs. medication
Inform policy & service planning Epidemiological survey of suicide rates across regions
Advance theory Experimental manipulation of stress to examine cortisol response

2. Core Research Paradigms

Paradigm Main Goal Typical Designs Strengths Limitations
Quantitative Measure variables & test hypotheses RCTs, cohort studies, cross‑sectional surveys, meta‑analysis Statistical power, generalizability May miss nuanced lived experience
Qualitative Explore meaning & context Interviews, focus groups, thematic analysis, grounded theory Rich, in‑depth insight Smaller samples, limited statistical inference
Mixed‑Methods Combine breadth & depth Sequential explanatory, concurrent triangulation Comprehensive picture More complex logistics & analysis

3. Study Designs Frequently Used

3.1 Experimental Designs

  • Randomized Controlled Trial (RCT)
    • Participants randomly assigned to treatment vs. control/placebo.
    • Gold standard for efficacy; blinding reduces bias.
  • Factorial Designs
    • Test interaction of two or more interventions (e.g., medication × psychotherapy).

3.2 Quasi‑Experimental Designs

  • Non‑randomized controlled trials
  • Interrupted time‑series
  • Useful when randomization is unethical or impractical (e.g., policy changes).

3.3 Observational Designs

Design Timing Key Feature
Cross‑sectional One point Snapshot of prevalence, correlations
Case‑control Retrospective Compare exposure histories of cases vs. matched controls
Cohort (prospective) Follow‑up Incidence rates, temporal ordering
Longitudinal panel Repeated measures Change over time within same individuals

3.4 Qualitative Designs

  • Phenomenology – explore lived experience of mental illness.
  • Narrative inquiry – construct personal illness stories.
  • Ethnography – observe mental‑health service cultures.

4. Key Methodological Steps

  1. Formulate a Clear Research Question

    • Use PICO (Population, Intervention, Comparison, Outcome) for quantitative work.
    • Use SPIDER (Sample, Phenomenon, Design, Evaluation, Research type) for qualitative work.
  2. Literature Review

    • Systematic search (databases: PubMed, PsycINFO, Embase).
    • Identify gaps, theoretical frameworks, and measurement tools.
  3. Select an Appropriate Design

    • Match question, feasibility, ethical constraints, and resources.
  4. Define Variables & Measures

    • Independent variables (e.g., treatment type).
    • Dependent variables (e.g., symptom severity).
    • Use validated instruments (e.g., PHQ‑9, PANSS, Beck Anxiety Inventory).
    • Consider biomarkers (cortisol, neuroimaging) when relevant.
  5. Sampling Strategy

    • Probability sampling (simple random, stratified) → enhances representativeness.
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Unit Syllabus 10 Topics
Introduction to Research Methods in Mental Health
Ethical Considerations in Mental Health Research
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Quantitative Research Methods in Mental Health
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Qualitative Research Methods in Mental Health
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Mixed-Methods Research in Mental Health
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Data Collection Techniques in Mental Health Research
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Sampling Strategies in Mental Health Research
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Data Analysis and Interpretation in Mental Health Research
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Validity and Reliability in Mental Health Research
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Reporting and Disseminating Mental Health Research Findings
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