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Байесовский анализ заданий×Разработка шкалы×
ОбластьПсихометрияПсихометрия
СемействоLatent structureLatent structure
Год появления1990s–2000s1991–1995
Автор методаOriginated in Bayesian psychometrics literature, developed extensively by Jean-Paul Fox and colleaguesMultiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson
ТипBayesian inference / item-level diagnosticsMulti-step methodological framework
Основополагающий источникFox, 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
Другие названияBIA, Bayesian classical item analysis, Bayesian item statistics, Bayesian item-level diagnosticsquestionnaire construction, instrument development, measurement scale construction, psychometric scale building
Связанные45
СводкаBayesian 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.
ScholarGateНабор данных
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  3. PUBLISHED
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ScholarGateСравнение методов: Bayesian Item Analysis · Scale development. Получено 2026-06-15 из https://scholargate.app/ru/compare