ERIC Number: ED389748
Record Type: Non-Journal
Publication Date: 1994-Nov
Reference Count: N/A
Nonparametric and Group-Based Person-Fit Statistics: A Validity Study and an Empirical Example. Research Report 94-12.
Meijer, Rob R.
In person-fit analysis, the object is to investigate whether an item score pattern is improbable given the item score patterns of the other persons in the group or given what is expected on the basis of a test model. In this study, several existing group-based statistics to detect such improbable score patterns were investigated, along with the cut scores that have been proposed in the literature to classify an item score pattern as aberrant. Through a simulation study and an empirical study, the power of three person-fit statistics was compared, and the practical use of various cut scores was investigated. The empirical study involved 437 Dutch sophomores studying psychology and pedagogics taking an examination on test theory. It was also demonstrated that person-fit statistics can be used to detect persons with a deficiency of knowledge on an achievement test. While one of the statistics was less appropriate in the simulation, the power of the three approaches was approximately the same in the empirical example. (Contains 9 tables and 31 references.) (SLD)
Descriptors: Achievement Tests, Classification, College Students, Cutting Scores, Foreign Countries, Group Membership, Higher Education, Identification, Knowledge Level, Nonparametric Statistics, Power (Statistics), Research Methodology, Simulation, Test Items, Validity
Bibliotheek, Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Publication Type: Reports - Evaluative
Education Level: N/A
Authoring Institution: Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology.