Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure

Psychological Assessment

Volumn 24, Issue 2, 2012, Pages 282-292

  Ruscio, John ^a   Roche, Brendan ^a  

^a The College of New Jersey   (United States)

Author keywords

Comparison data; Exploratory factor analysis; Kaiser criterion; Number of factors; Parallel analysis

Indexed keywords

ACCURACY; ANALYSIS; ANALYTICAL PARAMETERS; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; EXPLORATORY FACTOR ANALYSIS; FACTORIAL ANALYSIS; FACTORIAL STRUCTURE; INTERMETHOD COMPARISON; KAISER CRITERION; MAXIMUM LIKELIHOOD METHOD; PARALLEL ANALYSIS; PERFORMANCE; RANDOMIZATION; REPRODUCIBILITY; SAMPLING ERROR; SIMULATION; COMPUTER PROGRAM; EVALUATION; HUMAN; MATHEMATICAL COMPUTING; PSYCHOMETRY; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS; VALIDATION STUDY;

DATA INTERPRETATION, STATISTICAL; FACTOR ANALYSIS, STATISTICAL; HUMANS; MATHEMATICAL COMPUTING; MODELS, STATISTICAL; PSYCHOMETRICS; SOFTWARE; VALIDATION STUDIES AS TOPIC;

EID: 84866924945     PISSN: 10403590     EISSN: 1939134X     Source Type: Journal    
DOI: 10.1037/a0025697     Document Type: Article

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