Nonparametric Person-Fit Analysis of Polytomous Item Scores  

Oleh:

Emons, Wilco H. M.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Applied Psychological Measurement vol. 32 no. 3 (May 2008), page 224-247.
Topik: aberrant response behavior; nonparametric item response theory; person-fit analysis; person misfit; polytomous items
Fulltext: 224.pdf (826.66KB)

Isi artikel

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 itemresponse 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 itemscore vectors. An empirical example illustrates the use of the nonparametric person-fit statistics in real data.

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