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| Fowler, Robert L. | 2 |
| Clingman, Joy M. | 1 |
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Peer reviewedFowler, Robert L. – Applied Psychological Measurement, 1992
A Monte Carlo simulation explored how to optimize power in the extreme groups strategy when sampling from nonnormal distributions. Results show that the optimum percent for the extreme group selection was approximately the same for all population shapes, except the extremely platykurtic (uniform) distribution. (SLD)
Descriptors: Construct Validity, Equations (Mathematics), Mathematical Models, Monte Carlo Methods
Peer reviewedFowler, Robert L.; Clingman, Joy M. – Educational and Psychological Measurement, 1992
Monte Carlo techniques are used to examine the power of the "B" statistic of R. L. Brennan (1972) to detect negatively discriminating items drawn from a variety of nonnormal population distributions. A simplified procedure is offered for conducting an item-discrimination analysis on typical classroom objective tests. (SLD)
Descriptors: Classroom Techniques, Elementary Secondary Education, Equations (Mathematics), Item Analysis


