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Estimating the Nominal Response Model under Nonnormal Conditions
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Preston, Kathleen Suzanne Johnson; Reise, Steven Paul – Educational and Psychological Measurement, 2014
The nominal response model (NRM), a much understudied polytomous item response theory (IRT) model, provides researchers the unique opportunity to evaluate within-item category distinctions. Polytomous IRT models, such as the NRM, are frequently applied to psychological assessments representing constructs that are unlikely to be normally…
Descriptors: Item Response Theory, Computation, Models, Accuracy
A Primer on the Understanding, Use, and Calculation of Confidence Intervals That Are Based on Central and Noncentral Distributions.
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Cumming, Geoff; Finch, Sue – Educational and Psychological Measurement, 2001
Discusses four reasons for promoting the use of confidence intervals: (1) ease of interpretation; (2) links with familiar statistical tests; (3) promotion of meta-analytic thinking; and (4) increase of information about precision. Discusses calculations of confidence intervals for a basic standardized effect size measure and discusses software for…
Descriptors: Computer Software, Effect Size, Meta Analysis, Research Reports
Computing Correct Confidence Intervals for ANOVA Fixed- and Random-Effects Effect Sizes.
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Fidler, Fiona; Thompson, Bruce – Educational and Psychological Measurement, 2001
Illustrates the computation of confidence intervals for effect sizes for some analysis of variance applications and shows how the use of intervals involving noncentral distributions is made practical by new software. (SLD)
Descriptors: Analysis of Variance, Computation, Computer Software, Effect Size
Checking the Appropriateness of Item Response Theory Models by Predicting the Distribution of Observed Scores: The Program EO-Fit.
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Ferrando, Pere J.; Lorenzo-Seva, Urbano – Educational and Psychological Measurement, 2001
Describes a Windows program for checking the suitability of unidimensional logistic item response models for binary and ordered polytomous responses with respect to a given set of data. The program is based on predicting the observed test score distributions from the item characteristic curves. (SLD)
Descriptors: Computer Software, Item Response Theory, Mathematical Models, Prediction
Combining Probabilities from Discrete Probability Distributions.
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Edgington, Eugene S.; Haller, Otto – Educational and Psychological Measurement, 1984
This paper explains how to combine probabilities from discrete distributions, such as probability distributions for nonparametric tests. (Author/BW)
Descriptors: Computer Software, Data Analysis, Hypothesis Testing, Mathematical Formulas