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Derivation and Applicability of Asymptotic Results for Multiple Subtests Person-Fit Statistics.

ABSTRACT: 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.

SUBMITTER: Albers CJ

PROVIDER: S-EPMC5978505 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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Derivation and Applicability of Asymptotic Results for Multiple Subtests Person-Fit Statistics.

Albers Casper J CJ Meijer Rob R RR Tendeiro Jorge N JN

Applied psychological measurement 20160106 4

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 ...[more]

PMID: 29881053

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Project description:ObjectivesPeople interact with their work environment through being, to a greater or lesser extent, compatible with aspects of their setting. This interaction between person and environment is particularly relevant in healthcare settings where compatibility affects not only the healthcare professionals, but also potentially the patient. One way to examine this association is to investigate person-organisation (P-O) fit and person-group (P-G) fit. This systematic review aimed to identify and synthesise knowledge on both P-O fit and P-G fit in healthcare to determine their association with staff outcomes. It was hypothesised that there would be a positive relationship between fit and staff outcomes, such that the experience of compatibility and 'fitting in' would be associated with better staff outcomes.DesignA systematic review was conducted based on an extensive search strategy guided by Preferred Reporting Items for Systematic review and Meta-Analyses to identify relevant literature.Data sourcesCINAHL Complete, EMBASE, Ovid MEDLINE, PsycINFO and Scopus.Eligibility criteriaArticles were included if they were empirical studies, published in peer-reviewed journals in English language, set in a healthcare context and addressed the association that staff outcomes have with P-O and/or P-G fit.Data extraction and synthesisIncluded texts were examined for study characteristics, fit constructs examined and types of staff outcomes assessed. The Quality Assessment Tool was used to assess risk of bias.ResultsTwenty-eight articles were included in the review. Of these, 96.4% (27/28) reported a significant, positive association between perception of fit and staff outcomes in healthcare contexts, such that a sense of compatibility had various positive implications for staff, including job satisfaction and retention.ConclusionAlthough the results, as with all systematic reviews, are prone to bias and definitional ambiguity, they are still informative. Generally, the evidence suggests an association between employees' perceived compatibility with the workplace or organisation and a variety of staff outcomes in healthcare settings.

Dataset Information

Derivation and Applicability of Asymptotic Results for Multiple Subtests Person-Fit Statistics.

Publications

Derivation and Applicability of Asymptotic Results for Multiple Subtests Person-Fit Statistics.

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