Journal article
Comparison of Models and Indices for Detecting Rater Centrality
Journal of applied measurement, Vol.16(3), pp.228-241
01/01/2015
PMID: 26753219
Abstract
To date, much of the research concerning rater effects has focused on rater severity/leniency. Consequently, other potentially important rater effects have largely ignored by those conducting operational scoring projects. This simulation study compares four rater centrality indices (rater fit, residual-expected correlations, rater slope, and rater threshold variance) in terms of their Type I and Type II error rates under varying levels of centrality magnitude, centrality pervasiveness, and rating scale construction when each of four latent trait models is fitted to the simulated data (Rasch rating scale and partial credit models and the generalized rating scale and partial credit models). Results indicate that the residual-expected correlation may be most appropriately sensitive to rater centrality under most conditions.
Details
- Title: Subtitle
- Comparison of Models and Indices for Detecting Rater Centrality
- Creators
- Edward W WolfeTian Song
- Resource Type
- Journal article
- Publication Details
- Journal of applied measurement, Vol.16(3), pp.228-241
- PMID
- 26753219
- NLM abbreviation
- J Appl Meas
- ISSN
- 1529-7713
- Number of pages
- 14
- Language
- English
- Date published
- 01/01/2015
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9985123937402771
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