Small N Does Not Always Justify Rasch Model
- 1 June 1986
- journal article
- research article
- Published by SAGE Publications in Applied Psychological Measurement
- Vol. 10 (2), 187-194
- https://doi.org/10.1177/014662168601000210
Abstract
In many applications of item response theory, it is of little consequence whether the Rasch model or a more accurate, but more complicated item response model is used. With small sample sizes, it might be advantageous to employ the Rasch model. A clear counterexample is the case of optimal item selection under guessing.Keywords
This publication has 9 references indexed in Scilit:
- A comment on ‘some standard errors in item response theory’Psychometrika, 1984
- Small N Justifies Rasch ModelPublished by Elsevier BV ,1983
- Some standard errors in item response theoryPsychometrika, 1982
- Fundamental measurement of the difficulty of test itemsJournal of Mathematical Psychology, 1982
- Optimal item difficulty for the three-parameter normal ogive response modelPsychometrika, 1981
- Testing and obtaining fit of data to the Rasch modelBritish Journal of Mathematical and Statistical Psychology, 1980
- A New Family of Models for the Multiple-Choice Item.Published by Defense Technical Information Center (DTIC) ,1979
- Effects of Individual Optimization in Setting the Boundaries of Dichotomous Items on Accuracy of EstimationApplied Psychological Measurement, 1977
- Empirical bayes point estimates of latent trait scores without knowledge of the trait distributionPsychometrika, 1973