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

Samuel B. Green, Yanyun Yang

Research output: Contribution to journalArticle

107 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 languageEnglish (US)
Pages (from-to)155-167
Number of pages13
JournalPsychometrika
Volume74
Issue number1
DOIs
StatePublished - Mar 1 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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