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Item Analysis | 9 |
Latent Trait Theory | 8 |
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Rudner, Lawrence M. | 9 |
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Rudner, Lawrence M.; And Others – Journal of Educational Measurement, 1980
Using Monte Carlo generated item response data, this research sought to determine the effectiveness, sufficiency and similarity of selected techniques for detecting item bias. The three-parameter latent-trait test model was used to generate the simulated data. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Monte Carlo Methods, Test Bias

Rudner, Lawrence M.; And Others – Journal of Educational Statistics, 1980
Investigations of item bias provide an empirical basis for the identification and elimination of items appearing to measure different traits across population/culture groups. This paper reviews the psychometric rationales of six types of approaches to biased item identification. (Author/JKS)
Descriptors: Culture Fair Tests, Item Analysis, Latent Trait Theory, Test Bias

Rudner, Lawrence M. – Educational and Psychological Measurement, 1983
The relationship between item parameter values obtained from independent Birnbaum (l968) model calibrations of the same item set from two different samples is examined. (Author)
Descriptors: Achievement Tests, Aptitude Tests, Item Analysis, Latent Trait Theory

Rudner, Lawrence M. – Journal of Educational Measurement, 1983
Nine indices for assessing the accuracy of an individual's test score were evaluated using simulated item responses to a commercial and a classroom test. The indices appear capable of identifying relatively high proportions of examinees with spurious total scores. (Author/PN)
Descriptors: Correlation, Item Analysis, Latent Trait Theory, Measurement Techniques
Rudner, Lawrence M. – 1977
Because it is a true score model employing item parameters which are independent of the examined sample, item characteristic curve theory (ICC) offers several advantages over classical measurement theory. In this paper an approach to biased item identification using ICC theory is described and applied. The ICC theory approach is attractive in that…
Descriptors: Bias, Criteria, Culture Fair Tests, Item Analysis
Rudner, Lawrence M. – 1978
Tailored testing provides the same information as group-administered standardized tests, but can do so using fewer items because the items administered are selected for the ability of the individual student. Thus, tailored testing offers several advantages over traditional methods. Because individual tailored tests are not timed, anxiety is…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Rudner, Lawrence M.; Convey, John J. – 1978
Transformed item difficulties, chi-square, item characteristic curve (icc) theory and factor score techniques were evaluated as approaches for the identification of biased test items. The study was implemented to determine whether the approaches would provide identical classifications of items as to degree of aberrance for culturally different…
Descriptors: Comparative Analysis, Culture Fair Tests, Difficulty Level, Evaluation Criteria
Merz, William R.; Rudner, Lawrence M. – 1978
A variety of terms related to test bias or test fairness have been used in a variety of ways, but in this document the "fair use of tests" is defined as equitable selection procedures by means of intact tests, and "test item bias" refers to the study of separate items with respect to the tests of which they are a part. Seven…
Descriptors: Analysis of Covariance, Analysis of Variance, Difficulty Level, Evaluation Criteria
Rudner, Lawrence M. – 1977
Investigations into item bias provide an empirical basis for the identification and elimination of test items which appear to measure different traits across populations or cultural groups. The Psychometric rationales for six approaches to the identification of biased test items are reviewed: (1) Transformed item difficulties: within-group…
Descriptors: Analysis of Variance, Criterion Referenced Tests, Cultural Differences, Culture Fair Tests