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| Bayesian Scale Development× | Skalenentwicklung× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1990s–2000s | 1991–1995 |
| Urheber≠ | Harold Jeffreys, expanded into psychometrics by Mislevy and colleagues | Multiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson |
| Typ≠ | Bayesian probabilistic scale construction | Multi-step methodological framework |
| Wegweisende Quelle≠ | De Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press. ISBN: 978-1593858698 | DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 |
| Aliasnamen | Bayesian psychometric scale construction, Bayesian measurement modeling, Bayesian item development, BSD | questionnaire construction, instrument development, measurement scale construction, psychometric scale building |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | 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. | 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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