GMATtest | R Documentation |
The GMATtest
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 2,000 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. 1,000 per group). The distributions of total scores
(sum of correct answers) are the same for both reference and focal group (Martinkova et al., 2017).
The column criterion
represents generated continuous variable which is intended to be predicted
by test.
data(GMATtest)
A GMATtest
data frame consists of 2,000 observations on the following 22 variables:
nominal items of the test coded A, B, C, and D
group membership vector, "0"
reference group, "1"
focal group
continuous critetion intended to be predicted by test
Correct answers are presented in GMATkey
data set.
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
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, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1187/cbe.16-10-0307")}.
GMAT
, GMATkey
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