2019 Theses Doctoral
Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement
This dissertation encompasses three studies on issues of model-data fit methods for latent variable models implemented in modern educational measurement. The first study proposes a new statistic to test the mean-difference of the ability distributions estimated based on the responses of a group of examinees, which can be used to detect aberrant responses of a group of test-takers. The second study is a review of the current model-data fit indexes used for cognitive diagnostic models. Third study introduces a modified version of an existing item fit statistic so that the modified statistic has a known chi-square distribution. Lastly, a discussion of the three studies is given, including the studies’ limitations and thoughts on the direction of future research.
- Han_columbia_0054D_15180.pdf application/pdf 572 KB Download File
More About This Work
- Academic Units
- Measurement and Evaluation
- Thesis Advisors
- Johnson, Matthew S.
- Ph.D., Teachers College, Columbia University
- Published Here
- April 24, 2019