دورية أكاديمية
An Improved Inferential Procedure to Evaluate Item Discriminations in a Conditional Maximum Likelihood Framework
| العنوان: | An Improved Inferential Procedure to Evaluate Item Discriminations in a Conditional Maximum Likelihood Framework |
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| اللغة: | English |
| المؤلفون: | Clemens Draxler, Andreas Kurz, Can Gürer (ORCID |
| المصدر: | Journal of Educational and Behavioral Statistics. 2024 49(3):403-430. |
| الإتاحة: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 28 |
| تاريخ النشر: | 2024 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Descriptors: | Inferences, Test Items, Item Analysis, Maximum Likelihood Statistics, Item Response Theory, Hypothesis Testing, Probability, Statistical Distributions, Efficiency, Monte Carlo Methods, Educational Research |
| DOI: | 10.3102/10769986231183335 |
| تدمد: | 1076-9986 1935-1054 |
| مستخلص: | A modified and improved inductive inferential approach to evaluate item discriminations in a conditional maximum likelihood and Rasch modeling framework is suggested. The new approach involves the derivation of four hypothesis tests. It implies a linear restriction of the assumed set of probability distributions in the classical approach that represents scenarios of different item discriminations in a straightforward and efficient manner. Its improvement is discussed, compared to classical procedures (tests and information criteria), and illustrated in Monte Carlo experiments as well as real data examples from educational research. The results show an improvement of power of the modified tests of up to 0.3. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| رقم الأكسشن: | EJ1425768 |
| قاعدة البيانات: | ERIC |
Full Text Finder | تدمد: | 1076-9986 1935-1054 |
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| DOI: | 10.3102/10769986231183335 |