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| Models | 2 |
| Research Problems | 2 |
| Item Response Theory | 1 |
| Multiple Regression Analysis | 1 |
| Predictor Variables | 1 |
| Research Methodology | 1 |
| Theories | 1 |
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| Measurement and Evaluation in… | 2 |
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Peer reviewedDe Ayala, R. J. – Measurement and Evaluation in Counseling and Development, 1993
Notes that polytomous item response theory (IRT) models are appropriate for Likert scale and other polytomous item types. Presents polytomous IRT models, including graded response, nominal response, partial credit, and rating scale models. (Author/NB)
Descriptors: Item Response Theory, Models, Research Problems, Theories
Peer reviewedO'Connell, Ann Aileen – Measurement and Evaluation in Counseling and Development, 2000
Compares approaches to modeling ordinal outcome variables, including assumptions, interpretations, and limitations. Explores how the multiple regression approach with ordinal level data can compromise the understanding of the effects of the independent variables and of the ordinal level response. Provides applications with data from a multisite…
Descriptors: Models, Multiple Regression Analysis, Predictor Variables, Research Methodology
