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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
The Comparison of Standard Error Methods in the Marginal Maximum Likelihood Estimation of the Two-Parameter Logistic Item Response Model When the Distribution of the Latent Trait Is Nonnormal
A Monte Carlo simulation study was conducted to investigate the accuracy of several item parameter standard error (SE) estimation methods in item response theory (IRT) when the marginal maximum likelihood (MML) estimation method was used...
DIF detection methods identify the difference between the performances of subgroups when the subgroups are matched by examinees' ability level or a proxy variable, such as total test score (Holland & Wainer, 1993). Log-linear Models (LLM...
The main objective of this study was to investigate the improvement of the accuracy of small sample equating, which typically occurs in teacher certification/licensure examinations due to a low volume of test takers per test...
The Impact of Unbalanced Designs on the Performance of Parametric and Nonparametric DIF Procedures: A Comparison of Mantel Haenszel, Logistic Regression, SIBTEST, and IRTLR Procedures
The current study examined the impact of unbalanced sample sizes between focal and reference groups on the Type I error rates and DIF detection rates (power) of five DIF procedures (MH, LR, general IRTLR, IRTLR-b, and SIBTEST). Five...
Many popular global model-data fit indices (GFIs), such as Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residuals (SRMSR) are proposed and...
Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.