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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
Cramer, Elliot M.; Appelbaum, Mark I. – 1976
A recurring problem in educational research has been the adjustment of data to account for initial differences among observed groups of individuals on attributes uncontrollable by the researcher. The procedure called "balancing" is introduced in the National Assessment of Educational Progress report as an adjustment method for this…
Descriptors: Academic Achievement, Analysis of Covariance, Analysis of Variance, Comparative Analysis
Abedi, Jamal – 1994
This study investigated the dimensionality of mathematics subscale scores from the National Assessment of Educational Progress for the assessment's Technical Review Panel, specifically for the data from the 1990 and 1992 main assessment in relation to students' instructional and noninstructional background variables. Discriminant analysis was…
Descriptors: Achievement Tests, Discriminant Analysis, Elementary Secondary Education, Factor Structure
Sherman, Susan W. – 1976
The multiple-choice science exercises used by the National Assessment of Educational Progress include an "I Don't Know" (IDK) alternative to estimate more accurately knowledge of groups of respondents. Group percentages of IDK responses were examined and compared with correct responses to see if the IDK introduces bias. Variance common…
Descriptors: Age Differences, Comparative Analysis, Groups, Guessing (Tests)