Conditional or Pseudo Exact Tests with an Application in the Context of Modeling Response Times
| Autor: | Stephan F. Dahm, Clemens Draxler |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Rasch model
conditional probability distribution 05 social sciences 050401 social sciences methods conditional or pseudo exact test Context (language use) Conditional probability distribution Extension (predicate logic) 01 natural sciences Test (assessment) 010104 statistics & probability Power analysis 0504 sociology power function Chi-square test Applied mathematics Pharmacology (medical) 0101 mathematics Power function response times Mathematics |
| Zdroj: | Psych Volume 2 Issue 4 Pages 17-208 |
| ISSN: | 2624-8611 |
| Popis: | This paper treats a so called pseudo exact or conditional approach of testing assumptions of a psychometric model known as the Rasch model. Draxler and Zessin derived the power function of such tests. They provide an alternative to asymptotic or large sample theory, i.e., chi square tests, since they are also valid in small sample scenarios. This paper suggests an extension and applies it in a research context of investigating the effects of response times. In particular, the interest lies in the examination of the influence of response times on the unidimensionality assumption of the model. A real data example is provided which illustrates its application, including a power analysis of the test, and points to possible drawbacks. |
| Databáze: | OpenAIRE |
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