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| Schumacker, Randall E. | 6 |
| Cheevatanarak, Suchittra | 1 |
| Fluke, Rickey | 1 |
| Whitmore, Marjorie L. | 1 |
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| Reports - Evaluative | 4 |
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Download full textSchumacker, Randall E.; Cheevatanarak, Suchittra – 2000
Monte Carlo simulation compared chi-square statistics, parameter estimates, and root mean square error of approximation values using normal and elliptical estimation methods. Three research conditions were imposed on the simulated data: sample size, population contamination percent, and kurtosis. A Bentler-Weeks structural model established the…
Descriptors: Chi Square, Comparative Analysis, Estimation (Mathematics), Monte Carlo Methods
Peer reviewedWhitmore, Marjorie L.; Schumacker, Randall E. – Educational and Psychological Measurement, 1999
Compared differential item functioning detection rates for logistic regression and analysis of variance for dichotomously scored items using simulated data and varying test length, sample size, discrimination rate, and underlying ability. Explains why the logistic regression method is recommended for most applications. (SLD)
Descriptors: Ability, Analysis of Variance, Comparative Analysis, Item Bias
Schumacker, Randall E.; Fluke, Rickey – 1991
Three methods of factor analyzing dichotomously scored item performance data were compared using two raw score data sets of 20-item tests, one reflecting normally distributed latent traits and the other reflecting uniformly distributed latent traits. This comparison was accomplished by using phi and tetrachoric correlations among dichotomous data…
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Factor Analysis
Schumacker, Randall E.; And Others – 1994
Rasch between and total weighted and unweighted fit statistics were compared using varying test lengths and sample sizes. Two test lengths (20 and 50 items) and three sample sizes (150, 500, and 1,000 were crossed. Each of the six combinations were replicated 100 times. In addition, power comparisons were made. Results indicated that there were no…
Descriptors: Comparative Analysis, Goodness of Fit, Item Response Theory, Power (Statistics)
PDF pending restorationSchumacker, Randall E. – 1994
A population data set was randomly generated from which a random sample was drawn. This sample was randomly divided into two data sets, one of which was used to generate parameter estimates, which were then used in the second data set for cross-validation purposes. The best variable subset models were compared between the two data sets on the…
Descriptors: Comparative Analysis, Criteria, Estimation (Mathematics), Factor Analysis
Schumacker, Randall E. – 1992
The regression-discontinuity approach to evaluating educational programs is reviewed, and regression-discontinuity post-program mean differences under various conditions are discussed. The regression-discontinuity design is used to determine whether post-program differences exist between an experimental program and a control group. The difference…
Descriptors: Comparative Analysis, Computer Simulation, Control Groups, Cutting Scores
