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| Testing Problems | 6 |
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| Item Sampling | 2 |
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| Journal of Educational… | 6 |
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| Askegaard, Lewis D. | 1 |
| Feldt, Leonard S. | 1 |
| Forsyth, Robert A. | 1 |
| Gohmann, Stephen F. | 1 |
| Umila, Benwardo V. | 1 |
| Wainer, Howard | 1 |
| Whitely, Susan E. | 1 |
| Wright, Benjamin D. | 1 |
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| Journal Articles | 3 |
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Peer reviewedGohmann, Stephen F. – Journal of Educational Measurement, 1988
One method to correct for selection bias in comparing Scholastic Aptitude Test (SAT) scores among states is presented, which is a modification of J. J. Heckman's Selection Bias Correction (1976, 1979). Empirical results suggest that sample selection bias is present in SAT score regressions. (SLD)
Descriptors: Regression (Statistics), Sampling, Scoring, Selection
Peer reviewedFeldt, 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
Peer reviewedWhitely, Susan E. – Journal of Educational Measurement, 1977
A debate concerning specific issues and the general usefulness of the Rasch latent trait test model is continued. Methods of estimation, necessary sample size, and the applicability of the model are discussed. (JKS)
Descriptors: Error of Measurement, Item Analysis, Mathematical Models, Measurement
Peer reviewedWright, Benjamin D. – Journal of Educational Measurement, 1977
Statements made in a previous article of this journal concerning the Rasch latent trait test model are questioned. Methods of estimation, necessary sample sizes, several formuli, and the general usefulness of the Rasch model are discussed. (JKS)
Descriptors: Computers, Error of Measurement, Item Analysis, Mathematical Models
Peer reviewedAskegaard, Lewis D.; Umila, Benwardo V. – Journal of Educational Measurement, 1982
Multiple matrix sampling of items and examinees was applied to an 18-item rank order instrument administered to a randomly assigned group and compared to the ordering and ranking of all items by control subjects. High correlations between ranks suggest the methodology may viably reduce respondent effort on long rank ordering tasks. (Author/CM)
Descriptors: Evaluation Methods, Item Sampling, Junior High Schools, Student Reaction
Peer reviewedWainer, Howard – Journal of Educational Measurement, 1986
Describes recent research attempts to draw inferences about the relative standing of the states on the basis of mean SAT scores. This paper identifies five serious errors that call into question the validity of such inferences. Some plausible ways to avoid the errors are described. (Author/LMO)
Descriptors: College Entrance Examinations, Equated Scores, Mathematical Models, Predictor Variables


