Open AccessEstimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.
Author(s) -
Jonas M B Haslbeck,
Riet van Bork
Publication year - 2022
Publication title -
psychological methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.981
H-Index - 151
eISSN - 1939-1463
pISSN - 1082-989X
DOI - 10.1037/met0000528
Subject(s) - akaike information criterion , bayesian information criterion , exploratory factor analysis , structural equation modeling , statistics , bayesian probability , sample (material) , sample size determination , factor (programming language) , computer science , mean squared error , mathematics , factor analysis , chemistry , chromatography , programming language
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