| GMAT2 {difNLR} | R Documentation |
Dichotomous dataset based on GMAT.
Description
The GMAT2 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 dataset represents responses of 1,000 subjects to multiple-choice test of 20 items.
A correct answer is coded as 1 and incorrect answer as 0. 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(GMAT2)
Format
A GMAT2 data frame consists of 1,000 observations on the following 21 variables:
- Item1-Item20
dichotomously scored items of the test
- group
group membership vector,
"0"reference group,"1"focal group
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.