The Random Weights Linear Logistic Test Model
| Autor: | Frank Rijmen, Paul De Boeck, K. U. Leuven |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
05 social sciences
050401 social sciences methods Random effects model Logistic regression 050105 experimental psychology Logistic model tree Generalized linear mixed model 0504 sociology Generalised logistic function Item response theory Statistics 0501 psychology and cognitive sciences Psychology (miscellaneous) Log-linear model Social Sciences (miscellaneous) Multinomial logistic regression Mathematics |
| Zdroj: | Applied Psychological Measurement. 26:271-285 |
| ISSN: | 1552-3497 0146-6216 |
| Popis: | A generalization of the linear logistic test model of G. H. Fischer (1973), the random weights linear logistic test model, is presented. The generalization consists of a random coef.cient contribution of item stimulus features to the item dif.culties, with the coef.cients varying over persons. Whereas in the common linear logistic test model, only the intercept (ability) is considered random over persons, in the random weights linear logistic test model, also some or all of the item stimulus features are considered as having random coef.cients. It turns out that the random weights linear logistic test model is a special case of the multidimensional random coef.cient multinomial logit model of Adams, Wilson, and Wang (1997). The model is applied to a deductive reasoning task. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|