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Exploratory Factor Analysis

Its Role in Item Analysis

Bibliographic Data

ID23322992
AuthorsRichard L Gorsuch (Fuller Theological Seminary, corresponding author)
Year1997
Volume68
Issue3
Pages532-560
Publication date1997-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Personality Assessment (JOURNAL)
Journal identifiersISSN: 0022-3891 • E-ISSN: 1532-7752
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15327752jpa6803_5
PMID16372866
OpenAlexW1982977873
LanguageEN
Citations received141

The special characteristics of items-low reliability, confounds by minor, unwanted covariance, and the likelihood of a general factor-and better understanding of factor analysis means that the default procedure of many statistical packages (Little Jiffy) is no longer adequate for exploratory item factor analysis. It produces too many factors and precludes a general factor even when that means the factors extracted are nonreplicable. More appropriate procedures that reduce these problems are presented, along with how to select the sample, sample size required, and how to select items for scales. Proposed scales can be evaluated by their correlations with the factors; a new procedure for doing so eliminates the biased values produced by correlating them with either total or factor scores. The role of exploratory factor analysis relative to cluster analysis and confirmatory factor analysis is noted.

Exploratory factor analysis · Factor (programming language) · Psychometrics · Clinical Psychology · Grit, Self-Efficacy, and Motivation · Psychology

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Unique citing works141
Citations per year4,86
Citation span1997 - 2026 (30)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 125

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