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Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches
Abstract
This paper offers a critical assessment of the psychometric properties of a standard higher education end-of-course evaluation. Using both exploratory factor analysis (EFA) and Rasch modeling, the authors investigate the (a) an overall assessment of dimensionality using EFA, (b) a secondary assessment of dimensionality using a principal components analysis (PCA) of the residuals when the items are fit to the Rasch model, and (c) an assessment of item-level properties using item-level statistics provided when the items are fit to the Rasch model. The results support the usage of the scale as a supplement to high-stakes decision making such as tenure. However, the lack of precise targeting of item difficulty to person ability combined with the low person separation index renders rank-ordering professors according to minuscule differences in overall subscale scores a highly questionable practice.
Keywords
References
- American Association of University Professors, Committee C on College and University Teaching, Research, and Publication. (1974). Statement on teaching evaluation. AAUP Bulletin, 60, 168-170.
- Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43, 561-573.
- Bangert, A. W. (2006). The development of an instrument for assessing online teaching effectiveness. Journal of Educational Computing Research, 35, 227-244.
- Barth, M. M. (2008). Deciphering student evaluations of teaching: A factor analysis approach. Journal of Education for Business, 84, 40-46.
- Beran, T., Violato, C., & Kline, D. (2007). What’s the “use” of student ratings of instruction for administrators? One university’s experience. Canadian Journal of Higher Education, 17(1), 27-43.
- Brown, A., & Green, T. (2003). Showing up to class in pajamas (or less ): The fantasies and realities of on-line professional development courses for teachers. The Clearing House, 76, 148-151.
- Calkins, S., & Micari, M. (2010). Less-than-perfect judges: Evaluating student evaluations. Thought & Action: The NEA Higher Education Journal, 26, 7-22.
- Campbell, J. P., & Bozeman, W.C. (2008). The value of student ratings: Perceptions of students, teachers, and administrators. Community College Journal of Research and Practice, 32, 13-24.
Details
Primary Language
English
Subjects
Studies on Education
Journal Section
Research Article
Publication Date
July 11, 2016
Submission Date
July 11, 2016
Acceptance Date
-
Published in Issue
Year 2016 Volume: 3 Number: 1
APA
Bradley, K. D., Snyder, E. M., & Tombari, A. K. (2016). Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches. International Journal of Assessment Tools in Education, 3(1), 3-22. https://izlik.org/JA98RZ82MN
AMA
1.Bradley KD, Snyder EM, Tombari AK. Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches. Int. J. Assess. Tools Educ. 2016;3(1):3-22. https://izlik.org/JA98RZ82MN
Chicago
Bradley, Kelly D., Eric M. Snyder, and Angela K. Tombari. 2016. “Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches”. International Journal of Assessment Tools in Education 3 (1): 3-22. https://izlik.org/JA98RZ82MN.
EndNote
Bradley KD, Snyder EM, Tombari AK (July 1, 2016) Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches. International Journal of Assessment Tools in Education 3 1 3–22.
IEEE
[1]K. D. Bradley, E. M. Snyder, and A. K. Tombari, “Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches”, Int. J. Assess. Tools Educ., vol. 3, no. 1, pp. 3–22, July 2016, [Online]. Available: https://izlik.org/JA98RZ82MN
ISNAD
Bradley, Kelly D. - Snyder, Eric M. - Tombari, Angela K. “Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches”. International Journal of Assessment Tools in Education 3/1 (July 1, 2016): 3-22. https://izlik.org/JA98RZ82MN.
JAMA
1.Bradley KD, Snyder EM, Tombari AK. Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches. Int. J. Assess. Tools Educ. 2016;3:3–22.
MLA
Bradley, Kelly D., et al. “Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches”. International Journal of Assessment Tools in Education, vol. 3, no. 1, July 2016, pp. 3-22, https://izlik.org/JA98RZ82MN.
Vancouver
1.Kelly D. Bradley, Eric M. Snyder, Angela K. Tombari. Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches. Int. J. Assess. Tools Educ. [Internet]. 2016 Jul. 1;3(1):3-22. Available from: https://izlik.org/JA98RZ82MN