Back to search

Article

A reusable Bayesian IRT workflow for instrument validation: A tutorial with a small-sample case study in teacher belief measurement

2026-04-13

Abstract excerpt

<p>Bayesian Item Response Theory (IRT) offers distinct advantages for fitting complex measurement models under sample-size constraints, yet practical guidance on implementing complete Bayesian IRT workflows for applied researchers remains limited. This tutorial presents a reusable workflow for validating multidimensional instruments with limited samples using the R package brms. The workflow guides researchers thr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
70206a69-98c4-59d5-8561-ee40e4897173
DOI
10.31234/osf.io/aj4hw_v3
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A reusable Bayesian IRT workflow for instrument validation: A tutorial with a small-sample case study in teacher belief measurementDOI 10.31234/osf.io/aj4hw_v3
Select a neighboring publication to make it the new centre.