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Autor/inAckerman, Terry A.
TitelThe Robustness of LOGIST and BILOG IRT Estimation Programs to Violations of Local Independence.
Quelle(1987), (25 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterComputer Software; Correlation; Estimation (Mathematics); Latent Trait Theory; Mathematical Models; Predictive Measurement; Statistical Studies; Test Construction; Test Items; Test Theory; ACT Assessment
AbstractOne of the important underlying assumptions of all item response theory (IRT) models is that of local independence. This assumption requires that the response to an item on a test not be influenced by the response to any other items. This assumption is often taken for granted, with little or no scrutiny of the response process required to answer individual test items. Ackerman and Spray (1986) proposed a dependency model with which the interaction of such factors as the amount and direction of item dependency, item difficulty and discrimination, and item order or sequence effects could be simulated. In the present study, item response data were generated with varying degrees of response dependency using their model. These data were used to determine the robustness of the IRT calibration programs LOGIST and BILOG to violations of local independence. Results suggest that calibrated dependent item parameters tend to be overestimates of the original item parameters. Ability estimates, however, were more affected as the degree of dependency increased. A description of the ACT Mathematics Usage Test is appended. (Author/JAZ)
Erfasst vonERIC (Education Resources Information Center), Washington, DC
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