Securing Objectivity of Qualitative Assessment Results using Ordered Probit Model

Minkyu Jeong, Yuncheol Kang, Namchul Kim, Kwanghun Chung

Abstract


In the service sectors, the qualitative evaluation method in the form of a survey is widely used as a major assessment tool to evaluate the quality of service. However, the results obtained from a survey can involve the subjective judgment of the respondent. In this study, we propose a method to secure objectivity by excluding subjectivity that may be included in the qualitative evaluation results. In particular, we deal with a situation where the same type of qualitative evaluation tool is used repeatedly by several service providers. To this end, by utilizing both the Ordered Probit model and third-party evaluation results, we determine whether subjectivity is involved in the results. After correcting subjectivity, the final results are obtained through statistical analysis. The application analyzed in this study is the medical service area. With the actual evaluation results supplied by the service providers, we explain how objectivity can be secured from the assessment data by applying our proposed approach.


Full Text:

PDF

References


Aitchison, J. and Silvey, S. D., “The generalization of probit analysis to the case of multiple responses,” Biometrika, Vol. 44, No. 1/2, pp. 131-40, 1957.

Aldrich, J. H. and Nelson, F. D., Linear Probability, Logit, and Probit Models, No. 45, Sage, 1984.

Folstein, M. F., Robins, L. N., and Helzer, J. E., “The mini-mental state examination,” Archives of General Psychiatry, Vol. 40, No. 7, pp. 812-812, 1983.

Ju, M., “Probit and ordered probit analysis and its application,” Journal of Governmental Studies, Vol. 6, No. 1, pp. 24-49, 2000.

Kang, S., “How to estimate inter-rater reliability?,” Korean Society For Measurement And Evaluation In Physical Education And Sports Science, Vol. 13, No. 1, pp. 1-8, 2011.

Lee, G., Kang, K., and Rho, J., “Development of bicycle level of service model from the user’s perspectiveusing ordered probit model,” Journal of Korean Institute of Intelligent Transport Systems, Vol 8, No. 2, pp. 108-117, 2009.

Mckelvey, R. D. and Zavoina, W., “A statistical model for the analysis of ordinal level dependent variables,” Journal of Mathematical Sociology, Vol. 4, No. 1, pp. 103-120, 1975.

Myers, J. L., Well, A. D., and Lorch Jr, R. F., Research Design and Statistical Analysis, Routledge, 2013.

Park, J. and Kim, S., “The significance test on the AHP-based alternative evaluation: An application of non-parametric statistical method,” The Journal of Society for e-Business Studies, Vol. 22, No. 1, pp. 15-35, 2017.

Reeve, B. B. and Fayers, P., “Applying item response theory modeling for evaluating questionnaire item and scale properties,” Assessing quality of life in clinical trials: Methods of practice, Vol. 2, pp. 55-73, 2005.

Van der Linden, W. J. and Hambleton, R. K., Handbook of modern item response theory, Springer Science & Business Media, 2013.

Wilcoxon, F., Individual Comparisons by Ranking Methods, pp. 196-202, Breakthroughs in statistics, Springer, New York, 1992.


Refbacks

  • There are currently no refbacks.