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Pokropek, Artur; Borgonovi, Francesca – Journal of Educational Measurement, 2020
This article presents the pseudo-equivalent group approach and discusses how it can enhance the quality of linking in the presence of nonequivalent groups. The pseudo-equivalent group approach allows to achieve pseudo-equivalence using propensity score reweighting techniques. We use it to perform linking to establish scale concordance between two…
Descriptors: Foreign Countries, Secondary School Students, Achievement Tests, International Assessment
Powers, Sonya; Kolen, Michael J. – Journal of Educational Measurement, 2014
Accurate equating results are essential when comparing examinee scores across exam forms. Previous research indicates that equating results may not be accurate when group differences are large. This study compared the equating results of frequency estimation, chained equipercentile, item response theory (IRT) true-score, and IRT observed-score…
Descriptors: Accuracy, Equated Scores, Differences, Groups

Muraki, Eiji – Journal of Educational Measurement, 1999
Extended an Item Response Theory (IRT) method for detection of differential item functioning to the partial credit model and applied the method to simulated data using a stepwise procedure. Then applied the stepwise DIF analysis based on the multiple-group partial credit model to writing trend data from the National Assessment of Educational…
Descriptors: Groups, Item Bias, Item Response Theory, Simulation

Pommerich, Mary; Nicewander, W. Alan; Hanson, Bradley A. – Journal of Educational Measurement, 1999
Studied whether a group's average percent correct in a content domain could be accurately estimated for groups taking a single test form and not the entire domain of items. Evaluated six Item Response Theory-based domain score estimation methods through simulation and concluded they performed better than observed score on the form taken. (SLD)
Descriptors: Estimation (Mathematics), Groups, Item Response Theory, Scores

Dorans, Neil J.; Kulick, Edward – Journal of Educational Measurement, 1986
The standardization method for assessing unexpected differential item performance or differential item functioning is introduced. Findings of five studies are summarized, in which the statistical method of standardization is used to look for unexpected differences in item performance across different subpopulations of the Scholastic Aptitude Test.…
Descriptors: Groups, Item Analysis, Sociometric Techniques, Standardized Tests

Cole, Nancy S.; Zieky, Michael J. – Journal of Educational Measurement, 2001
Proposes additional ways for people in the measurement profession to think about the fairness of assessments and about the fairness of the uses of assessments. Suggests that measurement professionals must pay more attention to reducing group differences at the design stage of test development, to providing all examinees an opportunity to…
Descriptors: Educational Testing, Equal Education, Groups, Test Bias

Lewy, Arieh – Journal of Educational Measurement, 1973
The present paper called attention to the difference between discrimination among individuals and discrimination among groups and suggested that the intraclass correlation coefficient should be used in the process of item selection whenever one is interested in discrimination among groups. (Author)
Descriptors: Correlation, Data Analysis, Educational Discrimination, Educational Research

Angoff, William H.; Cowell, William R. – Journal of Educational Measurement, 1986
Linear conversions were developed relating scores on recent forms of the Graduate Record Examinations. Conversions based on specially selected subpopulations were compared with total-group conversions and evaluated. Conclusions indicated that the data clearly support the assumption of population independence for homogenoeous tests, but not quite…
Descriptors: College Entrance Examinations, Equated Scores, Groups, Higher Education

Kim, Seock-Ho; And Others – Journal of Educational Measurement, 1995
A method is presented for detection of differential item functioning in multiple groups. This method is closely related to F. M. Lord's chi square for comparing vectors of item parameters estimated in two groups. An example is provided using data from 600 college students taking a mathematics test with and without calculators. (SLD)
Descriptors: Chi Square, College Students, Comparative Analysis, Estimation (Mathematics)