[Measurement invariance of sub-health questionnaire in doctor and nurse]

Wei Sheng Yan Jiu. 2018 May;47(3):399-402.
[Article in Chinese]

Abstract

Objective: To examine the measurement invariance of sub-health questionnaire in doctor and nurse, and compare their sub-health status.

Methods: Totally 1832 doctors and nurses were selected by multi-stage stratified cluster random sampling method and investigated with a sub-health questionnaire. Measurement invariance between two groups was tested by multiple group confirmatory factor analysis.

Results: The test of measurement invariance for the one-factor model showed that the subhealth questionnaire met the criteria for measurement invariance( ΔCFI < 0. 01). The level of strict invariance( equal factor loadings, intercepts, and residual variances between groups) was achieved. When the latent means were compared, differences between groups were not statistically significant( the latent means of the dimensions were0. 029, 0. 050, 0. 054 and 0. 010, respectively, and the P value were 0. 385, 0. 168, 0. 092 and 0. 753, respectively).

Conclusion: The sub-health questionnaire has the universal applicability to the medical staff.

Keywords: doctor and nurse; measurement invariance; multiple group confirmatory factor analysis; sub-health.

MeSH terms

  • Factor Analysis, Statistical
  • Health Status*
  • Humans
  • Nurses*
  • Physicians*
  • Psychometrics
  • Surveys and Questionnaires*