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Covariates of the Rating Process in Hierarchical Models for Multiple Ratings of Test Items
- Source :
- Journal of Educational and Behavioral Statistics. 32:287-314
- Publication Year :
- 2007
- Publisher :
- American Educational Research Association (AERA), 2007.
-
Abstract
- When constructed response test items are scored by more than one rater, the repeated ratings allow for the consideration of individual rater bias and variability in estimating student proficiency. Several hierarchical models based on item response theory have been introduced to model such effects. In this article, the authors demonstrate how these models may be extended to include covariates of the rating process. For example, how do features of an essay grader’s training affect his or her performance? The authors show how to include covariates by embedding a linear model at appropriate levels of the model hierarchy. Depending on the level, such covariates may be thought of as determining fixed effects or random effects on the rating process. The authors also discuss the appropriate design matrix for such covariates, discuss how to incorporate needed identifiability constraints, and illustrate the methods using data from a rating study of a student assessment.
- Subjects :
- Computer science
05 social sciences
Design matrix
Linear model
050401 social sciences methods
050301 education
Random effects model
Education
Inter-rater reliability
0504 sociology
Rating scale
Statistics
Covariate
Item response theory
Econometrics
Identifiability
0503 education
Social Sciences (miscellaneous)
Subjects
Details
- ISSN :
- 19351054 and 10769986
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Journal of Educational and Behavioral Statistics
- Accession number :
- edsair.doi...........dfe2be92685978a49697d6bc3d4f05c5