| GMAT2test {difNLR} | R Documentation |
Dataset based on GMAT.
Description
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. Aditionally, 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.
Author(s)
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
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.