Psychometric properties of the Chinese version of State Self-Esteem Scale: an analysis of data from a cross-sectional survey of patients in the first four months after stroke

Janita P C Chau, David Thompson, Anne M Chang, Jean Woo

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

AIM: To establish the psychometric properties of the Chinese version of the State Self-Esteem Scale in stroke patients.

BACKGROUND: Self-esteem is seen to enhance peoples' ability to cope with disease: low self-esteem may inhibit participation in rehabilitation and thus result in poor health and social outcomes. Although the Chinese version of the State Self-Esteem Scale has been used as an outcome measure for stroke rehabilitation, no study has examined its factor structure in this patient group.

DESIGN: A cross-sectional design.

METHODS: A convenience sample of 265 Chinese stroke patients (mean age 71·4, SD 10·3 years), with a minimum score of 18 out of a possible 30 for the Mini Mental State Exam recruited from two regional rehabilitation hospitals in Hong Kong. An exploratory factor analysis and an internal consistency analysis of the State Self-Esteem Scale were conducted. Pearson's correlation coefficients were calculated between the State Self-Esteem Scale and the Geriatric Depression Scale to determine convergent validity.

RESULTS: The final factor solution comprised a three-factor model with correlated constructs and accounted for 49·5% of the total variance. Significant negative correlations were found between the Geriatric Depression Scale and the State Self-Esteem Scale subscale scores (r-0·31 to -0·55, p < 0·01), indicating that the State Self-Esteem Scale had acceptable convergent validity. The new three-factor structure had higher Cronbach's alphas when compared with the original three-factor structure.

RELEVANCE TO CLINICAL PRACTICE: The State Self-Esteem Scale appears to be a useful measure for assessing state self-esteem in stroke patients. To establish the concurrent, discriminative and construct validities, the factor structure of the SSES could be further developed and tested.

Original languageEnglish
Pages (from-to)3268-75
Number of pages8
JournalJournal of Clinical Nursing
Volume21
Issue number21-22
DOIs
Publication statusPublished - Nov 2012

Keywords

  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Hong Kong
  • Humans
  • Middle Aged
  • Psychometrics
  • Self Concept
  • Stroke
  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Validation Studies

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