title: Asymptotically Correct Standardization of Person-Fit Statistics Beyond Dichotomous Items.
abstract: The [Formula: see text] statistic (Drasgow et al. in Br J Math Stat Psychol 38:67-86, 1985) is one of the most popular person-fit statistics (Armstrong et al. in Pract Assess Res Eval 12(16):1-10, 2007). Snijders (Psychometrika 66:331-342, 2001) derived the asymptotic null distribution of [Formula: see text] when the examinee ability parameter is estimated. He also suggested the [Formula: see text] statistic, which is the asymptotically correct standardized version of [Formula: see text]. However, Snijders (Psychometrika 66:331-342, 2001) only considered tests with dichotomous items. In this paper, the asymptotic null distribution of [Formula: see text] is derived for mixed-format tests (those that include both dichotomous and polytomous items). The asymptotically correct standardized version of [Formula: see text], which can be considered as the extension of [Formula: see text] to such tests, is suggested. The Type I error rate and power of the suggested statistic are examined from several simulated datasets. The suggested statistic is computed using a real dataset. The suggested statistic appears to be a satisfactory tool for assessing person fit for mixed-format tests.
authors.affiliation: McGraw-Hill Education CTB, Monterey, USA. ssinharay@pacificmetrics.com.
authors.forename: Sandip
authors.initials: S
authors.lastname: Sinharay
mesh_terms: D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D066264:Datasets as Topic; D006801:Humans; D015233:Models, Statistical; D011594:Psychometrics / Q000379:methods*
keywords: generalized partial credit model; polytomous items