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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. Take any of the existing irt commands, add a group(varname) option, and fit the corresponding multiple-group model. For instance, type
. irt 2pl item1-item10, group(female)
and fit a two-group 2PL model.
Group-specific means and variances of the latent trait will be estimated. Group-specific difficulty and discrimination parameters can also be estimated for one or more items. With constraints, you can specify exactly which parameters are allowed to vary and which parameters are constrained to be equal across groups.
You can even use likelihood-ratio tests to compare models with and without constraints to perform an IRT model-based test of differential item functioning.
Stata 数据管理统计绘图软件
快速,简单并易于使用
点击式的界面和强大,直观的命令语言让Stata使用起来快速,并易于使用。
所有的分析结果都可以被复制和存档,并用来出版和审查。不管您什么时候写的内容,版本控制系统确保统计程序可
继续生成同样的结果。
统计功能介绍
Stata使得大量的统计工具用于指尖
● 基本表格和总结
● 案例对照分析
● ARIMA
● ANOVA 和MANOVA
● 线性回归
● 时间序列平滑
● 多层模型
● 生存分析
● 动态面板数据回归
● 结构方程建模
● 二进制,计数和审查结果
● ARCH
■ 标准方法,如■ 方法,如
● 多重替代法
● 调查数据
● Treatment effects
● 统计
● 贝叶斯分析
● ……
尽管您不需要使用Stata进行编程,
但是它作为一个快速完成矩阵的编程
语言,是Stata功能中不可或缺的一部
分。Mata既是一个操作矩阵的互动环
境,也是一个完整开发环境,可以生
产编译和优化代码。它还包含了一些
功能来处理面板数据、执行真实
或复制的矩阵运算,提供完整的支持
面向对象的编程,并完全兼容Stata。
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