Objective <p>To translate the Online Education Student Satisfaction Scale and evaluate its reliability and validity among Chinese nursing students.</p> Background <p>As online education continues to expand rapidly, understanding student satisfaction is essential for improving educational quality. However, there is a notable lack of assessment tools specifically designed to evaluate the satisfaction of nursing students in online learning environments in China.</p> Design <p>A cross-sectional study design.</p> Method <p>The Chinese version of OESSS adopted Brislin’s translation model and conducted expert consultations to validate the face validity and testing of the translation version. Reliability and validity were tested using exploratory factor analysis, confirmatory factor analysis, and internal consistency reliability.</p> Results <p>The Chinese version of the 28-item scale demonstrated good psychometric properties. Exploratory factor analysis identified five factors, accounting for 66.623% of the total variance. Confirmatory factor analysis showed excellent fit indices: CMIN/DF = 1.185, RMSEA = 0.025, NFI = 0.917, IFI = 0.986, TLI = 0.984, and CFI = 0.986. Reliability measures were also robust, with a total Cronbach’s α coefficient of 0.918, McDonald’s Omega of 0.910, and test–retest reliability of 0.916.</p> Conclusion <p>The Chinese version of Online Education Student Satisfaction Scale (C-OESSS) exhibits strong psychometric properties and is well-suited for measuring online education satisfaction among nursing students in China.</p> Clinical trial number <p>Not applicable.</p>

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Psychometric evaluation of the Online Education Student Satisfaction Scale: a translation and validation study among Chinese nursing students

  • Chuang Li,
  • Youbei Lin,
  • Hong ye Guo,
  • Haixia Zhao,
  • Jinyan Xiong,
  • Xu yang Xiao,
  • Lan Zhang

摘要

Objective

To translate the Online Education Student Satisfaction Scale and evaluate its reliability and validity among Chinese nursing students.

Background

As online education continues to expand rapidly, understanding student satisfaction is essential for improving educational quality. However, there is a notable lack of assessment tools specifically designed to evaluate the satisfaction of nursing students in online learning environments in China.

Design

A cross-sectional study design.

Method

The Chinese version of OESSS adopted Brislin’s translation model and conducted expert consultations to validate the face validity and testing of the translation version. Reliability and validity were tested using exploratory factor analysis, confirmatory factor analysis, and internal consistency reliability.

Results

The Chinese version of the 28-item scale demonstrated good psychometric properties. Exploratory factor analysis identified five factors, accounting for 66.623% of the total variance. Confirmatory factor analysis showed excellent fit indices: CMIN/DF = 1.185, RMSEA = 0.025, NFI = 0.917, IFI = 0.986, TLI = 0.984, and CFI = 0.986. Reliability measures were also robust, with a total Cronbach’s α coefficient of 0.918, McDonald’s Omega of 0.910, and test–retest reliability of 0.916.

Conclusion

The Chinese version of Online Education Student Satisfaction Scale (C-OESSS) exhibits strong psychometric properties and is well-suited for measuring online education satisfaction among nursing students in China.

Clinical trial number

Not applicable.