01705nas a2200181   4500008004100000245007300041210006900114300001100183490000700194520110100201653002101302653003001323653002501353653001501378100001701393700001501410856009801425       2001                        eng d00aOutlier measures and norming methods for computerized adaptive tests0 aOutlier measures and norming methods for computerized adaptive t  a85-1040 v263 aNotes that the problem of identifying outliers has 2 important aspects: the choice of outlier measures and the method to assess the degree of outlyingness (norming) of those measures. Several classes of measures for identifying outliers in Computerized Adaptive Tests (CATs) are introduced. Some of these measures are constructed to take advantage of CATs' sequential choice of items; other measures are taken directly from paper and pencil (P&P) tests and are used for baseline comparisons. Assessing the degree of outlyingness of CAT responses, however, can not be applied directly from P&P tests because stopping rules associated with CATs yield examinee responses of varying lengths. Standard outlier measures are highly correlated with the varying lengths which makes comparison across examinees impossible. Therefore, 4 methods are presented and compared which map outlier statistics to a familiar probability scale (a p value). The methods are explored in the context of CAT data from a 1995 Nationally Administered Computerized Examination (NACE). (PsycINFO Database Record (c) 2005 APA )10aAdaptive Testing10aComputer Assisted Testing10aStatistical Analysis10aTest Norms1 aBradlow, E T1 aWeiss, R E  uhttp://www.iacat.org/content/outlier-measures-and-norming-methods-computerized-adaptive-tests