School-Level IRT Scaling of Writing Assessment Data

Applied Measurement in Education

Volumn 11, Issue 4, 1998, Pages 371-383

  Tate, Richard ^a   Heidorn, Mark ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0032395983     PISSN: 08957347     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15324818ame1104_5     Document Type: Article

References (9)

1. Bock, R. D., & Mislevy, R. J. (1981). An item-response curve model for matrix sampling data: The California grade-three assessment. New Directions for Testing and Measurement, 10, 65-90.
2. Dunbar, S. B., Koretz, D. M., & Hoover, H. D. (1991). Quality control in the development and use of performance assessments. Applied Measurement in Education, 4, 289-303.
3. Mislevy, R. J. (1983). Item response models for grouped data. Journal of Educational Statistics, 8, 271-288.
4. Mislevy, R. J., & Bock, R. D. (1989). A hierarchical item-response model for educational testing. In R. D. Bock (Ed.), Multilevel analysis for educational data (pp. 57-74). San Diego, CA: Academic.
5. Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16, 159-176.
6. Muraki, E., & Bock, R. D. (1993). PARSCALE: IRT-based test scoring and item analysis for graded open-ended exercises and performance tasks. Chicago: Scientific Software.
7. Tate, R. L. (1994). School-level IRT scaling of Florida writing assessment data. Tallahassee: Florida Department of Education.
8. Tate, R. L. (1995). Robustness of the school-level IRT model. Journal of Educational Measurement, 32, 145-162.
9. Tate, R. L., & King, F. J. (1994). Factors which influence precision of school-level IRT ability estimates. Journal of Educational Measurement, 31, 1-15.