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ERIC Number: EJ789993
Record Type: Journal
Publication Date: 2008
Pages: 24
Abstractor: Author
Reference Count: 49
ISSN: ISSN-0146-6216
Nonparametric Person-Fit Analysis of Polytomous Item Scores
Emons, Wilco H. M.
Applied Psychological Measurement, v32 n3 p224-247 2008
Person-fit methods are used to uncover atypical test performance as reflected in the pattern of scores on individual items in a test. Unlike parametric person-fit statistics, nonparametric person-fit statistics do not require fitting a parametric test theory model. This study investigates the effectiveness of generalizations of nonparametric person-fit statistics to polytomous item response data. A simulation study using varying test and item characteristics shows that a simple count of the Guttman errors is effective in detecting serious person misfit. The simulation study further shows that in most conditions a simple nonparametric person-fit statistic is as effective as a commonly used parametric person-fit statistic in detecting deviant item score vectors. An empirical example illustrates the use of the nonparametric person-fit statistics in real data. (Contains 7 tables and 4 figures.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A