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The Use of Analysis of Covariance Structures for Assessing the Psychometric Utility of Multiple Criteria in Differential Prediction Studies ANCOVA

Author(s):
Rock, Donald A.; Werts, Charles E.; Flaugher, Ronald L.
Publication Year:
1977
Report Number:
RB-77-19
Source:
ETS Research Bulletin
Document Type:
Report
Page Count:
27
Subject/Key Words:
Analysis of Covariance (ANCOVA), Analysis of Variance (ANOVA), Prediction Studies, Psychometrics, Test Bias, Validity Studies

Abstract

It is assumed that the dependent variables in differential prediction studies, test bias studies, analysis of variance and covariance designs are characterized by certain psychometric properties which are invariant across the subgroups of interest. More specifically, the validity of the results in such analyses depend on the assumption that the dependent variables are measuring the same constructs in the same metrics with equivalent reliabilities across all subgroups. Systematic procedures are outlined for testing these assumptions. (27pp.)

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