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.
| 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 |
| 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 |
| 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 |
Formulate a Clear Research Question
Literature Review
Select an Appropriate Design
Define Variables & Measures
Sampling Strategy