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| Analyse bayésienne des items× | Développement d'échelles× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1990s–2000s | 1991–1995 |
| Auteur d'origine≠ | Originated in Bayesian psychometrics literature, developed extensively by Jean-Paul Fox and colleagues | Multiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson |
| Type≠ | Bayesian inference / item-level diagnostics | Multi-step methodological framework |
| Source fondatrice≠ | Fox, J.-P. (2010). Bayesian Item Response Modeling: Theory and Applications. Springer. DOI ↗ | DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 |
| Alias | BIA, Bayesian classical item analysis, Bayesian item statistics, Bayesian item-level diagnostics | questionnaire construction, instrument development, measurement scale construction, psychometric scale building |
| Apparentées≠ | 4 | 5 |
| Résumé≠ | Bayesian item analysis applies Bayesian inference to estimate item-level statistics — difficulty, discrimination, and distractor effectiveness — by combining observed response data with prior knowledge. It produces full posterior distributions over item parameters rather than single point estimates, providing richer uncertainty information especially with small samples. | Scale development is a structured, multi-step process for creating psychometrically sound measurement instruments that capture latent psychological constructs. It encompasses construct definition, item generation, expert review, exploratory and confirmatory factor analysis, reliability estimation, and validity evidence collection — producing a final set of items suitable for quantitative research. |
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