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

J Clin Nurs. 2012 Nov;21(21-22):3268-75. doi: 10.1111/j.1365-2702.2011.03724.x. Epub 2011 Jun 8.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Hong Kong
  • Humans
  • Middle Aged
  • Psychometrics*
  • Self Concept*
  • Stroke / psychology*