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Peer reviewedMathews, Walter M. – Journal of Educational Measurement, 1973
This article reports a comparative study of teacher acceptance of two kinds of testing reports that were generated for Form A of the Iowa Tests of Basic Skills at the fourth-grade level. (Editor)
Descriptors: Academic Achievement, Academic Records, Data Collection, Elementary Schools
Download full textHuang, Chi-Yu – 1998
This study examined the reliability of three methods for detecting differential item functioning (DIF) (i.e., the Mantel-Haenszel method, the standardization method, and the logistic regression method) applied to achievement test data. In addition, the study examined the influences of different sources of error variance, including examinee,…
Descriptors: Identification, Item Bias, Regression (Statistics), Reliability
Peer reviewedFeldt, Leonard S. – Journal of Educational Measurement, 1973
This paper provides a guide to the minimum size of treatment groups, inferred from the relationships between pupil norms and norms for class averages of standardized achievement tests. (Editor)
Descriptors: Class Average, Correlation, Educational Experiments, Group Norms
Bianchini, John C.; Loret, Peter G. – 1974
The Anchor Test Study provides a method for translating a pupil's score on any one of eight widely used standardized reading tests for Grades 4, 5, and 6 to a corresponding score on any of the other seven tests, as well as furnishing new nationally representative norms for each of the eight tests. In addition, the Study presents new estimates of…
Descriptors: Administration, Comparative Analysis, Correlation, Data Collection
Bianchini, John C.; Loret, Peter G. – 1974
The Anchor Test Study provides a method for translating a pupil's score on any one of eight widely used standardized reading tests for Grades 4, 5, and 6 to a corresponding score of any of the other seven tests, as well as furnishing new nationally representative norms for each of the eight tests. In addition, the Study presents new estimates of…
Descriptors: Administration, Comparative Analysis, Correlation, Data Collection
