- 01 PCA-Based Index Reduces a battery of correlated variables to a weighted composite that captures the dominant shared dimension
- 02 Anderson (ICW) Index Aggregates related outcomes into a single index that down-weights redundant indicators using inverse covariance weighting
- 03 GLS / Standardized Mean Effect Index Averages standardised treatment effects across related outcomes to produce a single summary effect size
- 04 Exploratory Factor Analysis Identifies the latent dimensions underlying a battery of items without imposing a prior structure
- 05 Likert Scale Diagnostics Checks whether Likert-format survey items behave as intended before combining them into a scale score
- 06 Item Response Theory / Rasch Models Places persons and items on a common scale by modelling the probability of a correct response as a function of ability and item difficulty
- 07 Confirmatory Factor Analysis Tests whether observed items conform to a pre-specified factor structure derived from theory or prior evidence
- 08 Construct & Convergent Validity Diagnostics Tests whether a measure correlates with related measures it should correlate with and diverges from measures it should not
- 09 Measurement Invariance Testing Tests whether a scale measures the same construct in the same way across groups before making cross-group comparisons
- 10 Survey Translation & Cross-Cultural Equivalence Ensures survey questions mean the same thing across languages and cultural contexts before pooling or comparing data