Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha

Samuel B. Green; Yanyun Yang

doi:10.1007/s11336-008-9099-3

Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha

Samuel B. Green, Yanyun Yang

Social and Family Dynamics, T. Denny Sanford School of (SSFD)

Research output: Contribution to journal › Article › peer-review

207 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	155-167
Number of pages	13
Journal	Psychometrika
Volume	74
Issue number	1
DOIs	https://doi.org/10.1007/s11336-008-9099-3
State	Published - Mar 2009

Keywords

Factor analysis of categorical data
Reliability
Reliability of scales with Likert items
Structural equation modeling

ASJC Scopus subject areas

Psychology(all)
Applied Mathematics

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10.1007/s11336-008-9099-3

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abstract = "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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KW - Reliability of scales with Likert items

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Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha

Abstract

Keywords

ASJC Scopus subject areas

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