Quantitative Methods
Quantitative methods focus on measurement, statistics, and numerical analysis.
When to Use
- Testing hypotheses
- Measuring prevalence or frequency
- Establishing relationships between variables
- Generalizing to larger populations
Common Methods
Surveys
Structured questionnaires for data collection at scale.
Experiments
Controlled manipulation to test causal relationships.
Secondary Data Analysis
Analysis of existing datasets.
Computational Methods
Large-scale data analysis using algorithms.
Statistical Techniques
| Technique | Purpose |
|---|---|
| Descriptive Statistics | Summarize data |
| Correlation | Measure relationships |
| Regression | Predict outcomes |
| ANOVA | Compare groups |
| Factor Analysis | Identify underlying factors |
Quality Criteria
- Internal validity
- External validity
- Reliability
- Statistical power