Reliability of summed item scores using structural equation modeling

An alternative to coefficient alpha

Samuel B. Green, Yanyun Yang

Research output: Contribution to journalArticle

87 Citations (Scopus)

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 2009

Fingerprint

Structural Equation Modeling
Alternatives
Coefficient
Linear equation
Nonlinearity
Estimate
Model

Keywords

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

ASJC Scopus subject areas

  • Psychology(all)
  • Applied Mathematics

Cite this

Reliability of summed item scores using structural equation modeling : An alternative to coefficient alpha. / Green, Samuel B.; Yang, Yanyun.

In: Psychometrika, Vol. 74, No. 1, 03.2009, p. 155-167.

Research output: Contribution to journalArticle

@article{5a7e760e75434d8ab76c21387a800bf8,
title = "Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha",
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.",
keywords = "Factor analysis of categorical data, Reliability, Reliability of scales with Likert items, Structural equation modeling",
author = "Green, {Samuel B.} and Yanyun Yang",
year = "2009",
month = "3",
doi = "10.1007/s11336-008-9099-3",
language = "English (US)",
volume = "74",
pages = "155--167",
journal = "Psychometrika",
issn = "0033-3123",
publisher = "Springer New York",
number = "1",

}

TY - JOUR

T1 - Reliability of summed item scores using structural equation modeling

T2 - An alternative to coefficient alpha

AU - Green, Samuel B.

AU - Yang, Yanyun

PY - 2009/3

Y1 - 2009/3

N2 - 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.

AB - 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.

KW - Factor analysis of categorical data

KW - Reliability

KW - Reliability of scales with Likert items

KW - Structural equation modeling

UR - http://www.scopus.com/inward/record.url?scp=61449195221&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61449195221&partnerID=8YFLogxK

U2 - 10.1007/s11336-008-9099-3

DO - 10.1007/s11336-008-9099-3

M3 - Article

VL - 74

SP - 155

EP - 167

JO - Psychometrika

JF - Psychometrika

SN - 0033-3123

IS - 1

ER -