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Updated: Jun 30, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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HBMIRT:一个SAS宏观用于估计小 (和大!) 的单维和多维1和2参数项目响应模型. 样品 样品 样品 样品

Wolfgang Wagner1, Steffen Zitzmann2, Martin Hecht3

  • 1Hector Research Institute of Education Sciences and Psychology, University of Tübingen, Europastraße 6, 72072, Tübingen, Germany. wolfgang.wagner@uni-tuebingen.de.

Behavior research methods
|March 23, 2024
PubMed
概括

贝叶斯物件响应理论 (IRT) 模型现在可以在小样本中使用HBMIRT SAS宏观估计. 这种工具简化了复杂的心理测量分析,为研究人员提供了比传统方法更好的优势.

关键词:
贝叶斯人的IRT是贝叶斯人的IRT.层次上的先们.多维IRT是多维的在这个过程中,PROC MCMCMC.一个小样本小样本.

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