00541nas a2200121   4500008004100000020003800041245007000079210006500149260007200214100001600286700002700302856009000329       2005                        eng d  aComputerized Testing Report 97-1400aThe use of person-fit statistics in computerized adaptive testing0 ause of personfit statistics in computerized adaptive testing  aNewton, PA. USAbLaw School Administration CouncilcSeptember, 20051 aMeijer, R R1 aKrimpen-Stoop, E M L A  uhttp://mail.iacat.org/content/use-person-fit-statistics-computerized-adaptive-testing01880nas a2200169   4500008004100000245013100041210006900172300001200241490000700253520122700260653003001487653002501517653001501542653001601557100001601573856012101589       2004                        eng d00aUsing patterns of summed scores in paper-and-pencil tests and computer-adaptive tests to detect misfitting item score patterns0 aUsing patterns of summed scores in paperandpencil tests and comp  a119-1360 v413 aTwo new methods have been proposed to determine unexpected sum scores on subtests (testlets) both for paper-and-pencil tests and computer adaptive tests. A method based on a conservative bound using the hypergeometric distribution, denoted ρ, was compared with a method where the probability for each score combination was calculated using a highest density region (HDR). Furthermore, these methods were compared with the standardized log-likelihood statistic with and without a correction for the estimated latent trait value (denoted as l-super(*)-sub(z) and l-sub(z), respectively). Data were simulated on the basis of the one-parameter logistic model, and both parametric and nonparametric logistic regression was used to obtain estimates of the latent trait. Results showed that it is important to take the trait level into account when comparing subtest scores. In a nonparametric item response theory (IRT) context, on adapted version of the HDR method was a powerful alterative to ρ. In a parametric IRT context, results showed that l-super(*)-sub(z) had the highest power when the data were simulated conditionally on the estimated latent trait level. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)10aComputer Assisted Testing10aItem Response Theory10aperson Fit10aTest Scores1 aMeijer, R R  uhttp://mail.iacat.org/content/using-patterns-summed-scores-paper-and-pencil-tests-and-computer-adaptive-tests-detect