TY - JOUR
T1 - Nonparametric person-fit research
T2 - Some theoretical issues and an empirical example
AU - Meijer, Rob R.
AU - Muijtjens, A.A.M.
AU - van der Vleuten, C.P.M.
PY - 1996
Y1 - 1996
N2 - In person-fit analysis, it is investigated whether an item score pattern is improbable given the item score patterns of the other persons in the group or given an expected score pattern on the basis of a test model. In this study, several existing group-based statistics are discussed to detect such improbable item score patterns, along with the cut scores that were proposed in the literature to classify an item score pattern as aberrant. By means of a simulation study and an empirical study, the detection rate of these statistics is compared, and the practical use of various cut scores is investigated. It is furthermore demonstrated that person-fit statistics can be used to detect persons with a deficiency of knowledge on an achievement test.
AB - In person-fit analysis, it is investigated whether an item score pattern is improbable given the item score patterns of the other persons in the group or given an expected score pattern on the basis of a test model. In this study, several existing group-based statistics are discussed to detect such improbable item score patterns, along with the cut scores that were proposed in the literature to classify an item score pattern as aberrant. By means of a simulation study and an empirical study, the detection rate of these statistics is compared, and the practical use of various cut scores is investigated. It is furthermore demonstrated that person-fit statistics can be used to detect persons with a deficiency of knowledge on an achievement test.
U2 - 10.1207/s15324818ame0901_7
DO - 10.1207/s15324818ame0901_7
M3 - Article
SN - 0895-7347
VL - 9
SP - 77
EP - 89
JO - Applied measurement in education
JF - Applied measurement in education
IS - 1
ER -