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A Comparison of Simple Random Sampling Versus Stratification for Allocating Items to Subtests in Multiple Matrix Sampling.

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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

Achievement Test Items--Methods of Study. CSE Monograph Series in Evaluation, 6.

Harris, Chester W.; And Others – 1977

The implications of a mathematical model of test scores are explored where the data are limited to a random sample of items without replacement from an indefinitely large population or item domain in which items are scored either zero or one. The purpose is to obtain an unbiased estimate of a student's proportion of items correct in the item…

Descriptors: Academic Achievement, Achievement Tests, Annotated Bibliographies, Bibliographies