The factor structure and composite reliability of the Rosenberg Self-Esteem Scale among ex-prisoners

Daniel Boduszek, Philip Hyland, Katie Dhingra, John Mallett

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

The aim of this study was to examine the factor structure and composite reliability of the Rosenberg Self-Esteem Scale (RSES) using a sample of 669 ex-prisoners identified in the National Survey of American Life. Six distinct factor models, with uncorrelated measurement error terms, were specified and tested using confirmatory factor analysis (CFA). Results indicated that the two-factor model consisting of positive and negative latent variables provided a better fit to the data than the alternative models. Moreover, only positive self-esteem was a significant predictor of recidivism. Composite reliability indicated that the two factors were measured with very good reliability. The results consequently provide additional support for a two-dimensional model of the RSES within offender populations.
LanguageEnglish
Pages877-881
Number of pages5
JournalPersonality and Individual Differences
Volume55
Issue number8
Early online date1 Aug 2013
DOIs
Publication statusPublished - 3 Nov 2013

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Prisoners
Self Concept
Statistical Factor Analysis
Population

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The factor structure and composite reliability of the Rosenberg Self-Esteem Scale among ex-prisoners. / Boduszek, Daniel; Hyland, Philip; Dhingra, Katie; Mallett, John.

In: Personality and Individual Differences, Vol. 55, No. 8, 03.11.2013, p. 877-881.

Research output: Contribution to journalArticle

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AU - Hyland, Philip

AU - Dhingra, Katie

AU - Mallett, John

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AB - The aim of this study was to examine the factor structure and composite reliability of the Rosenberg Self-Esteem Scale (RSES) using a sample of 669 ex-prisoners identified in the National Survey of American Life. Six distinct factor models, with uncorrelated measurement error terms, were specified and tested using confirmatory factor analysis (CFA). Results indicated that the two-factor model consisting of positive and negative latent variables provided a better fit to the data than the alternative models. Moreover, only positive self-esteem was a significant predictor of recidivism. Composite reliability indicated that the two factors were measured with very good reliability. The results consequently provide additional support for a two-dimensional model of the RSES within offender populations.

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