Modern psychological research relies on sophisticated statistical methods to measure latent constructs, validate assessments, and draw reliable conclusions from data. From item response theory (IRT) to structural equation modeling (SEM), these techniques form the backbone of psychometric science.
This hub collects our technical articles on the statistical methods that power psychological measurement — accessible to both researchers learning new techniques and practitioners seeking to understand the tools behind the tests they use.
What You’ll Find Here
This guide covers 28 research articles organized by topic:
- Item Response Theory (IRT) — Modern test theory, adaptive testing, and item-level analysis.
- Factor Analysis & SEM — Exploratory and confirmatory approaches to understanding test structure.
- Reliability & Validity Methods — Techniques for evaluating measurement quality.
- Bayesian & Advanced Methods — Emerging approaches in psychometric modeling.
Item Response Theory (IRT)
Modern test theory, adaptive testing, and item-level analysis.
Factor Analysis & SEM
Exploratory and confirmatory approaches to understanding test structure.
Reliability & Validity Methods
Techniques for evaluating measurement quality.
Emerging approaches in psychometric modeling.
Explore More Topics
Continue your exploration of psychology and cognitive science: