When Unidimensional Data Are Not Unidimensional

When Unidimensional Data Are Not Unidimensional [electronic resource] / Mark D. Reckase and Others.

Factor analysis is the traditional method for studying the dimensionality of test data. However, under common conditions, the factor analysis of tetrachoric correlations does not recover the underlying structure of dichotomous data. The purpose of this paper is to demonstrate that the factor analyse...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: Reckase, Mark
Corporate Author: United States. Office of Naval Research. Psychological Sciences Division. Personnel and Training Research Programs
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1985.
Subjects:
Correlation.
Difficulty Level.
Factor Analysis.
Item Analysis.
Latent Trait Theory.
Mathematical Models.
Statistical Distributions.
Statistical Studies.
Test Items.
Testing Problems.
True Scores.

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ED275732 Available

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