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Scheetz, James P.; Forsyth, Robert A. – 1977
The choice of design parameters (e.g., number of subtests, number of items per subtest, and number of examinees per subtest) can be controlled by the test constructor in a multiple matrix sampling evaluation. The purpose of this study was to determine empirically which combination of the above parameters produces the smallest standard errors of…
Descriptors: Error Patterns, Item Sampling

Forsyth, Robert A. – Educational and Psychological Measurement, 1976
Shoemaker's conclusions related to the influence of various data base characteristics (reliability, variability of item difficulty indices, and degree of skewness in the normative distribution) on the standard error of a mean estimated via multiple matrix sampling procedures are examined. (Author/RC)
Descriptors: Item Sampling, Statistical Analysis, Test Reliability

Brandenburg, Dale C.; Forsyth, Robert A. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Goodness of Fit, Item Sampling, Models

Feldt, Leonard S.; Forsyth, Robert A. – Journal of Educational Measurement, 1974
The net effect of the conditions under which tests are taken was empirically investigated using the scores obtained by high school students on an English and a mathematics test. (Author/BB)
Descriptors: Achievement Tests, Context Effect, English, Item Sampling

Brandenburg, Dale C.; Forsyth, Robert A. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Achievement Tests, Comparative Analysis, Item Sampling, Mathematical Models
Scheetz, James P.; Forsyth, Robert A. – 1977
Empirical evidence is presented related to the effects of using a stratified sampling of items in multiple matrix sampling on the accuracy of estimates of the population mean. Data were obtained from a sample of 600 high school students for a 36-item mathematics test and a 40-item vocabulary test, both subtests of the Iowa Tests of Educational…
Descriptors: Achievement Tests, Difficulty Level, Item Analysis, Item Sampling