Test Item Bias

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Steven J. Osterlind - University of Missouri - Columbia, USA

Volume: 30

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Test & Measurement

88 pages | SAGE Publications, Inc

A unique, practical manual for identifying and analyzing item bias in standardized tests. Osterlind discusses five strategies for detecting bias: analysis of variance, transformed item difficulties, chi square, item characteristic curve, and distractor response. He covers specific hypotheses under test for each technique, as well as the capabilities and limitations of each strategy.

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Steven J. Osterlind

Dr. Steven J. Osterlind is Professor of Measurement and Statistics and Director of Educational Psychology program, University of Missouri-Columbia. Dr. Osterlind’s expertise is in psychological assessment, including tests and measurement, statistics, psychometric methods and test development. He received his doctoral degree in 1976 in Educational Psychology (Measurement & Statistics) from the University of Southern California. In 1979, he was an American Scholar’s Fellow at Yale University. At the University of Missouri he teaches graduate-level courses in multivariate statistics, analysis of variance, regression, general linear modeling,... More About Author

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