The GMAT2test is a generated dataset based on parameters from Graduate Management
Admission Test (GMAT, Kingston et al., 1985). First two items were considered to function differently
in uniform and non-uniform way respectively. The data set represents responses of 1,000 subjects to
multiple-choice test of 20 items. Additionally, 4 possible answers on all items were generated,
coded A, B, C, and D. The column group represents group membership, where 0 indicates reference group
and 1 indicates focal group. Groups are the same size (i.e. 500 per group).
Usage
data(GMAT2test)Format
A GMAT2test data frame consists of 1,000 observations on the following 21 variables:
- Item1-Item20
nominal items of the test coded A, B, C, and D
- group
group membership vector,
"0"reference group,"1"focal group
Correct answers are presented in GMAT2key data set.
References
Kingston, N., Leary, L., & Wightman, L. (1985). An exploratory study of the applicability of item response theory methods to the Graduate Management Admission Test. ETS Research Report Series, 1985(2): 1–64.
Martinkova, P., Drabinova, A., Liaw, Y. L., Sanders, E. A., McFarland, J. L., & Price, R. M. (2017). Checking equity: Why differential item functioning analysis should be a routine part of developing conceptual assessments. CBE–Life Sciences Education, 16(2), rm2, doi:10.1187/cbe.16-10-0307 .
Author
Adela Hladka (nee Drabinova)
Institute of Computer Science of the Czech Academy of Sciences
Faculty of Mathematics and Physics, Charles University
hladka@cs.cas.cz
Patricia Martinkova
Institute of Computer Science of the Czech Academy of Sciences
martinkova@cs.cas.cz