Implications of multidimensionality for total score and subscore performance

Applied Measurement in Education

Volumn 17, Issue 2, 2004, Pages 89-112

  Tate, Richard L ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3042520618     PISSN: 08957347     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15324818ame1702_1     Document Type: Article

References (8)

1. Adams, R. J., Wilson, M., & Wang, W. (1997). The multidimensional random coefficients multinomial logit model. Applied Psychological Measurement, 21, 1-23.
2. Cohen J. (1977). Statistical power analysis for the behavioral sciences. New York: Academic.
3. Dillon, W. R., & Goldstein, M. (1984). Multivariate analysis: Methods and applications. New York: Wiley.
4. Mislevy, R. J., & Bock, R. D. (1993). PC-BILOG 3: Item analysis and test scoring with binary logistic models. Chicago, IL: Scientific Software.
5. Muraki, E. (1996). RESGEN: Item response generator. Princeton, NJ: Educational Testing Service.
6. Tate, R. L. (2002). Test dimensionality. In J. Tindal & T. M. Haladyna (Eds.), Large scale assessment programs for all students: Development, implementation, and analysis. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
7. Wang, M. (1986, April). Fitting a unidimensional model to multidimensional item response data. Paper presented at the Conference of the Office of Navel Research Contractors, Gatlinburg, TN.
8. Wu, M. L., Adams, R. J., & Wilson, M. R. (1998). ACER ConQuest: Generalized item response modelling software. Melbourne, Australia: The Australian Council for Educational Research.