...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Educational and Psychological Measurement >Higher Order Testlet Response Models for Hierarchical Latent Traits and Testlet-Based Items
【24h】

Higher Order Testlet Response Models for Hierarchical Latent Traits and Testlet-Based Items

机译：分层潜在特征和基于Testlet的项的高阶Testlet响应模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian approach implemented in the WinBUGS freeware for parameter estimation. A series of simulations were conducted to evaluate parameter recovery, consequences of model misspecification, and effectiveness of model-data fit statistics. Results show that the parameters of the new models can be recovered well. Ignoring the testlet effect led to a biased estimation of item parameters, underestimation of factor loadings, and overestimation of test reliability for the first-order latent traits. The Bayesian deviance information criterion and the posterior predictive model checking were helpful for model comparison and model-data fit assessment. Two empirical examples of ability tests and nonability tests are given.
机译：在教育和心理测量中，睾丸设计和分层潜在特征都相当普遍。这项研究旨在开发一类新的高阶睾丸反应模型，该模型考虑了睾丸内的局部项目依赖性和潜在性状的层次结构。由于维数高，作者采用了WinBUGS免费软件中实现的贝叶斯方法进行参数估计。进行了一系列模拟，以评估参数恢复，模型规格不正确的后果以及模型数据拟合统计的有效性。结果表明，新模型的参数可以很好地恢复。忽略睾丸效应会导致对项目参数的估计有偏差，对因素负荷的估计不足，对一阶潜在性状的测试可靠性的估计过高。贝叶斯偏差信息准则和后验预测模型检查有助于模型比较和模型数据拟合评估。给出了能力测试和非能力测试的两个经验例子。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号