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| Journal of Educational… | 4 |
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| Hocevar, Dennis | 1 |
| Marsh, Herbert W. | 1 |
| Powers, Stephen | 1 |
| Raudenbush, Stephen W. | 1 |
| Raymond, Mark R. | 1 |
| Viswesvaran, Chockalingam | 1 |
| Willms, J. Douglas | 1 |
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| Journal Articles | 4 |
| Reports - Evaluative | 2 |
| Reports - Research | 2 |
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Peer reviewedMarsh, Herbert W.; Hocevar, Dennis – Journal of Educational Measurement, 1983
This paper describes a variety of confirmatory factor analysis models that provide improved tests of multitrait-multimethod matrices, and compares three different approaches (the original Campbell-Fiske guidelines, an analysis of variance model, and confirmatory factor analysis models). (PN)
Descriptors: Analysis of Variance, Comparative Analysis, Evaluation Methods, Factor Analysis
Peer reviewedPowers, Stephen; And Others – Journal of Educational Measurement, 1983
The validity of the equipercentile hypothesis of the Title I Evaluation and Reporting System norm-referenced evaluation model was examined using 3,224 seventh- and ninth-grade students. Findings from confidence interval procedures contradicted the equipercentile hypothesis. There was a pattern of large gains for students not receiving any special…
Descriptors: Achievement Gains, Evaluation Methods, Evaluation Needs, Hypothesis Testing
Peer reviewedWillms, J. Douglas; Raudenbush, Stephen W. – Journal of Educational Measurement, 1989
A general longitudinal model is presented for estimating school effects and their stability. The model, capable of separating true changes from sampling and measurement error, controls statistically for effects of factors exogenous to the school system. The model is illustrated with data from large cohorts of students in Scotland. (SLD)
Descriptors: Elementary Secondary Education, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Peer reviewedRaymond, Mark R.; Viswesvaran, Chockalingam – Journal of Educational Measurement, 1993
Three variations of a least squares regression model are presented that are suitable for determining and correcting for rating error in designs in which examinees are evaluated by a subset of possible raters. Models are applied to ratings from 4 administrations of a medical certification examination in which 40 raters and approximately 115…
Descriptors: Error of Measurement, Evaluation Methods, Higher Education, Interrater Reliability


