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多组件测量仪器的可靠性:重复测量设计中的改进评估

Reliability of multiple-component measuring instruments: improved evaluation in repeated measure designs.

作者信息

Raykov Tenko

机构信息

Measurement and Quantitative Methods, Michigan State University,443A Erickson Hall, East Lansing, MI 48824, USA.

出版信息

Br J Math Stat Psychol. 2007 May;60(Pt 1):119-36. doi: 10.1348/000711006X100464.

Abstract

A covariance structure analysis method for improved point and interval estimation of composite reliability in repeated measure designs is outlined that accounts for specificity variance. The approach also permits the testing of time-invariance in reliability of multiple-component instruments in terms of the ratio of 'pure' measurement error variance to observed scale score variance. In addition, the procedure allows interval estimation of the difference in composite reliability coefficients across assessment occasions. The method described is illustrated with data from a cognitive intervention study.

摘要

本文概述了一种协方差结构分析方法,用于改进重复测量设计中复合信度的点估计和区间估计,该方法考虑了特异性方差。该方法还允许根据“纯”测量误差方差与观测量表分数方差的比率,检验多成分测量工具信度的时间不变性。此外,该程序允许对不同评估场合下复合信度系数的差异进行区间估计。文中用一项认知干预研究的数据对所描述的方法进行了说明。

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