Psychometric Properties Of The Persian Version Of The Uncivil Behavior In Clinical Nursing Education Among Nursing Students

Abstract

Background

Some clinical staff nurses show unprofessional behavior toward nursing students in clinical nursing education that can negatively affect their self-esteem and professionally. Examination of uncivil behavior toward nursing students requires a valid and reliable instrument. Therefore, the goal of the present study was to examine the psychometric properties of the Persian version of the Uncivil Behavior in Clinical Nursing Education (UBCNE) among nursing students.

Methods

In this methodological study, a total of 558 nursing students participated who were selected using a convenience sampling method, and were asked to complete the Persian version of the UBCNE. The UBCNE was translated based on the WHO guidelines. The face, content, and construct (using explanatory and confirmatory factor analysis) validities were assessed. In addition, internal consistency was assessed using the McDonald’s omega and the Cronbach’s alpha coefficient, and stability was assessed using the test-retest method.

Results

Explanatory factor analysis led to two factors, including Dismissive Behavior and Exclusionary Behavior that together explained 62.1% of the total variance of uncivil behavior. In the confirmatory factor analysis, the comparative and parsimonious fit indices were very good, but the absolute fit indices were poor (RMSEA=0.116, GFI=0.98, NFI=0.97, AFGI=0.83, PNFI=0.78). Reliability of the UBCNE was found to be 0.93 and 0.97, using the Cronbach’s alpha coefficient and the test-retest method, respectively.

Conclusion

The two-factor structure of the UBCNE has good validity and reliability among nursing students. Therefore, it can be used to assess civil behavior in clinical nursing education.

Keywords:

• psychometric property
• uncivil behavior
• factor analysis
• nursing student
• Iran

Acknowledgments

The present study was funded by the University of Social Welfare and Rehabilitation Sciences (USWRS). The authors wish to thank the Vice-Chancellor of Research Affairs at the USWRS and all the students and professors who supported us in conducting this research.

Disclosure

The authors report no conflicts of interest in this work.