The Impact of Moderate Priors For Bayesian Estimation and Testing of Item Factor Analysis Models When Maximum Likelihood is Unsuitable

Journal article

Peer reviewed

Sierra A Bainter and Daniel E Forster

Structural equation modeling, Vol.26(1), pp.80-93

2019-01-02

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Citation topics: 6 Social Sciences; 6.73 Social Psychology; 6.73.685 Item Response Theory
Web Of Science research areas: Mathematics, Interdisciplinary Applications; Social Sciences, Mathematical Methods
ESI research areas: Social Sciences, general

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Title: The Impact of Moderate Priors For Bayesian Estimation and Testing of Item Factor Analysis Models When Maximum Likelihood is Unsuitable
Creators: Sierra A Bainter - University of Miami
Daniel E Forster - University of Miami
Publication Details: Structural equation modeling, Vol.26(1), pp.80-93
Academic Unit: College of A&S; A&S - Psychology
Language: English
Resource Type: Journal article
Record Identifier: 991031575442602976