Bayesian Scale Development
Bayesian scale development applies Bayesian statistical inference to the construction and evaluation of psychometric scales. Rather than relying on single point estimates of item and person parameters, it produces full posterior distributions that quantify uncertainty, incorporate prior knowledge, and support principled decisions about item retention, reliability, and validity in small or complex samples.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- De Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press. · ISBN 978-1593858698
- Levy, R., & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press / Chapman & Hall. · ISBN 978-1439884676
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.