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Exploratory factor analysis: its role in item analysis.

¹Graduate School of Psychology, Fuller Theological Seminary, Pasadena, CA 91101, USA.

Journal of Personality Assessment

|January 1, 1997

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The default "Little Jiffy" method for exploratory item factor analysis is inadequate due to item characteristics. Improved procedures and scale evaluation methods are presented for more reliable factor analysis.

Area of Science:

Psychometrics
Statistical Analysis
Quantitative Psychology

Background:

Traditional exploratory item factor analysis (EFA) methods, such as the default 'Little Jiffy' in many statistical packages, are increasingly inadequate.
Specific item characteristics like low reliability, unwanted covariance, and the presence of a general factor complicate standard EFA.
Existing methods often produce an excessive number of factors and fail to identify a general factor, leading to non-replicable results.

Purpose of the Study:

To address the limitations of standard EFA procedures for item analysis.
To present more appropriate methods for exploratory item factor analysis that account for specific item characteristics.
To provide guidance on sample selection, sample size determination, and item selection for scale development.

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Main Methods:

Evaluation of the 'Little Jiffy' procedure against more advanced factor analytic techniques.
Development and presentation of alternative EFA procedures designed to mitigate issues of low reliability and general factors.
Introduction of a novel method for evaluating proposed scales by correlating them with extracted factors, avoiding biased correlations with total or factor scores.

Main Results:

The default 'Little Jiffy' procedure often yields an over-extraction of factors and incorrectly excludes general factors, compromising replicability.
The proposed alternative procedures effectively address common problems in EFA, leading to more accurate and replicable factor structures.
The new scale evaluation procedure provides less biased estimates of scale-factor relationships compared to traditional methods.

Conclusions:

The 'Little Jiffy' method is no longer sufficient for robust exploratory item factor analysis.
Adoption of the presented advanced procedures and evaluation techniques is recommended for improved scale development and factor analysis.
Understanding the interplay between item characteristics and factor analytic methods is crucial for valid psychometric research.