1966
DOI: 10.1111/j.1745-3984.1966.tb00884.x
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SELECTING ITEMS TO MEASURE CHANGE1

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Cited by 6 publications
(6 citation statements)
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“…Although this paper strives to be comprehensive, many relevant topics in the study of individual change could not be included. Among these topics are models for change in binary variables (Plewis, 1981), the construction of test items and tests for use in the measurement of change (Saupe, 1966), and the scaling of test-item data using Item Response Theory methods (see Bock, 1976). Also, efficient design for the estimation of individual growth curves, that is, determination of the number and spacing of observations, is an important omission.…”
Section: Discussionmentioning
confidence: 99%
“…Although this paper strives to be comprehensive, many relevant topics in the study of individual change could not be included. Among these topics are models for change in binary variables (Plewis, 1981), the construction of test items and tests for use in the measurement of change (Saupe, 1966), and the scaling of test-item data using Item Response Theory methods (see Bock, 1976). Also, efficient design for the estimation of individual growth curves, that is, determination of the number and spacing of observations, is an important omission.…”
Section: Discussionmentioning
confidence: 99%
“…A technical source for learning of the problems associated with change scores is Harris (1963). Other authors who discuss the technical problems of change scores are Manning and DuBois (1962) ;Tucker, Damarin, and Messick (1966); Traub (1967Traub ( , 1968; Glass (1968); Camp bell (1969); Saupe (1966); Stanley (1966); Englehart (1967); and DuBois and Mayo (in press). The Engelhart article should be read by persons with little sophistication in analysis techniques who often feel the analysis procedures resolve the measurement problems.…”
Section: Measurement Of Outcomesmentioning
confidence: 98%
“…Popham (1971) offers a chi-squared test for detecting items with atypical differences in p-value. Saupe's (1966) correlation between item and total change score is often considered the counterpart of the normreferenced item-test correlation.…”
Section: Criterion-referenced Item and Test Analysismentioning
confidence: 99%