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检验多组件测量仪器的最大可靠性变化。

Examining change in maximal reliability for multiple-component measuring instruments.

作者信息

Raykov Tenko, Hancock Gregory R

机构信息

Department of Psychology, Fordham University, Bronx, NY 10458, USA.

出版信息

Br J Math Stat Psychol. 2005 May;58(Pt 1):65-82. doi: 10.1348/000711005X38753.

Abstract

A method for examining change in maximal reliability for pre-specified sets of congeneric measures when developing a multi-component instrument is outlined. The approach is applicable for purposes of estimation and testing of gain or loss in the maximal reliability coefficient as a consequence of adding or dropping one or more measures from a homogeneous composite with uncorrelated errors, as well as when one is concerned with optimal component choice for highest increase or correspondingly smallest drop in maximal reliability. The method is compared with a procedure for ascertaining change in unweighted sum score reliability, and implications for instrument construction and revision are discussed. The approach is illustrated with a numerical example.

摘要

本文概述了一种在开发多成分测量工具时,用于检验预先指定的同类测量集最大信度变化的方法。该方法适用于估计和检验最大信度系数的增减,这种增减是由于从具有不相关误差的同质组合中添加或删除一个或多个测量所导致的,同时也适用于关注最大信度增加最多或相应下降最少时的最优成分选择。该方法与确定未加权总分信度变化的程序进行了比较,并讨论了其对测量工具构建和修订的影响。通过一个数值示例对该方法进行了说明。

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