विधियों की तुलना करें

	बायेसियन स्केल डेवलपमेंट	आइटम रिस्पांस थ्योरी (IRT)
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1990s–2000s	1952–1968
प्रवर्तक	Harold Jeffreys, expanded into psychometrics by Mislevy and colleagues	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
प्रकार	Bayesian probabilistic scale construction	Probabilistic measurement model
मौलिक स्रोत	De Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press. ISBN: 978-1593858698	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
उपनाम	Bayesian psychometric scale construction, Bayesian measurement modeling, Bayesian item development, BSD	IRT, latent trait theory, item characteristic curve theory, modern test theory
संबंधित	5	5
सारांश	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.	Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons.