Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha

被引：414
|
作者：
Green, Samuel B. [1 ]
Yang, Yanyun [2 ]
机构：
[1] Arizona State Univ, Tempe, AZ 85287 USA
[2] Florida State Univ, Tallahassee, FL 32306 USA
来源：
PSYCHOMETRIKA | 2009年 / 74卷 / 01期
关键词：
reliability; structural equation modeling; factor analysis of categorical data; reliability of scales with Likert items; INTERVAL ESTIMATION; SCALE POINTS; NUMBER;
D O I：
10.1007/s11336-008-9099-3
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A method is presented for estimating reliability using structural equation modeling (SEM) that allows for nonlinearity between factors and item scores. Assuming the focus is on consistency of summed item scores, this method for estimating reliability is preferred to those based on linear SEM models and to the most commonly reported estimate of reliability, coefficient alpha.
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页码：155 / 167
页数：13
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