Derivation and Applicability of Asymptotic Results for Multiple Subtests Person-Fit StatisticsAlbers, C. J., Meijer, R. R. & Tendeiro, J. N., 2016, In : Applied Psychological Measurement. 40, 4, p. 274-288 15 p.
Research output: Contribution to journal › Article › Academic › peer-review
In high-stakes testing, it is important to check the validity of individual test scores. Although a test may, in general, result in valid test scores for most test takers, for some test takers, test scores may not provide a good description of a test taker’s proficiency level. Person-fit statistics have been proposed to check the validity of individual test scores. In this study, the theoretical asymptotic sampling distribution of two person-fit statistics that can be used for tests that consist of multiple subtests is first discussed. Second, simulation study was conducted to investigate the applicability of this asymptotic theory for tests of finite length, in which the correlation between subtests and number of items in the subtests was varied. The authors showed that these distributions provide reasonable approximations, even for tests consisting of subtests of only 10 items each. These results have practical value because researchers do not have to rely on extensive simulation studies to simulate sampling distributions.
|Number of pages||15|
|Journal||Applied Psychological Measurement|
|Early online date||6-Jan-2016|
|Publication status||Published - 2016|
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