<p>Although ethical sensitivity is a well-defined concept, few scales specifically assess the ethical sensitivity of students in higher education referring to academic honor codes. We conducted the current study to develop and validate a scale that measures the Ethical Sensitivity Scale in Academic Activities (ESS). Scale development followed a standard survey design process with content validity. The final scale includes 20 items from three content areas: cheating, plagiarism, and falsification. Later, we validated the scale through factor analysis and measurement invariance at a national university of the U.S. with data from 654 students through a convenience sampling technique. After a thorough evaluation of alternative models, the one-factor structure was selected as the optimal model. Measurement invariance of gender and race was established. Furthermore, Rasch analysis provides evidence of scale (e.g., unidimensionality and monotonicity) and item quality (e.g., item fit; DIF). The results are relevant to stakeholders interested in examining and improving ethical sensitivity in academic activities for students in higher education.</p>

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Developing and Validating an Ethical Sensitivity Scale in Academic Activities (ESS)

  • Jin Liu,
  • Sarah K. Hood,
  • Susan Bon

摘要

Although ethical sensitivity is a well-defined concept, few scales specifically assess the ethical sensitivity of students in higher education referring to academic honor codes. We conducted the current study to develop and validate a scale that measures the Ethical Sensitivity Scale in Academic Activities (ESS). Scale development followed a standard survey design process with content validity. The final scale includes 20 items from three content areas: cheating, plagiarism, and falsification. Later, we validated the scale through factor analysis and measurement invariance at a national university of the U.S. with data from 654 students through a convenience sampling technique. After a thorough evaluation of alternative models, the one-factor structure was selected as the optimal model. Measurement invariance of gender and race was established. Furthermore, Rasch analysis provides evidence of scale (e.g., unidimensionality and monotonicity) and item quality (e.g., item fit; DIF). The results are relevant to stakeholders interested in examining and improving ethical sensitivity in academic activities for students in higher education.