A Study of Item Bias for Attitudinal Measurement Using Maximum Likelihood Factor Analysis

A Study of Item Bias for Attitudinal Measurement Using Maximum Likelihood Factor Analysis [microform] / Paul W. Mayberry.

A technique for detecting item bias that is responsive to attitudinal measurement considerations is a maximum likelihood factor analysis procedure comparing multivariate factor structures across various subpopulations, often referred to as SIFASP. The SIFASP technique allows for factorial model comp...

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Bibliographic Details
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Main Author: Mayberry, Paul W.
Format: Microfilm Book
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 1984.
Subjects:
Adults.
Analysis of Covariance.
Attitude Measures.
Data Analysis.
Factor Analysis.
Maximum Likelihood Statistics.
Research Methodology.
Test Bias.
Test Items.
Testing Problems.

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