Methoden vergleichen

	Bayesian Scale Development	Exploratorische Faktorenanalyse (EFA)
Fachgebiet	Psychometrie	Statistik
Familie	Latent structure	Latent structure
Entstehungsjahr	1990s–2000s	—
Urheber	Harold Jeffreys, expanded into psychometrics by Mislevy and colleagues	—
Typ	Bayesian probabilistic scale construction	Latent variable / dimension reduction
Wegweisende Quelle	De Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press. ISBN: 978-1593858698	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
Aliasnamen	Bayesian psychometric scale construction, Bayesian measurement modeling, Bayesian item development, BSD	common factor analysis, açımlayıcı faktör analizi, factor analysis
Verwandt	5	4
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.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.