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关 键 词：stata代理商
行 业：IT 软件 教学管理软件
发布时间：2024-04-26
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Multiple-group IRT models in Stata IRT models explore the relationship between a latent (unobserved) trait and items that measure aspects of the trait. This often arises in standardized testing where the trait of interest is ability, such as mathematical ability. A set of items (test questions) is designed, and the responses measure this unobserved trait. Researchers in education, psychology, and health frequently fit IRT models. Stata’s irt commands fit 1-, 2-, and 3-parameter logistic models. They also fit graded response, nominal response, partial credit, and rating scale models, and any combination of them. And after fitting a model, irtgraph graphs item-characteristic curves, test characteristic curves, item information functions, and test information functions. New in Stata 16, the irt commands allow comparisons across groups.
You can also use the styles shipped with Stata or styles created by your colleagues. Let's create a table using the collection system. We grab the NHANES II data (McDowell et al. 1981) that are used in many examples in the manuals.
Use leave-one-out meta-analysis to find out.
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