Research Article

Higher Education End-of-Course Evaluations: Assessing the Psychometric Properties Utilizing Exploratory Factor Analysis and Rasch Modeling Approaches

Volume: 3 Number: 1 July 11, 2016
  • Kelly D. Bradley
  • Eric M. Snyder
  • Angela K. Tombari
EN TR

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

  1. 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.
  2. Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43, 561-573.
  3. Bangert, A. W. (2006). The development of an instrument for assessing online teaching effectiveness. Journal of Educational Computing Research, 35, 227-244.
  4. Barth, M. M. (2008). Deciphering student evaluations of teaching: A factor analysis approach. Journal of Education for Business, 84, 40-46.
  5. 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.
  6. 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.
  7. Calkins, S., & Micari, M. (2010). Less-than-perfect judges: Evaluating student evaluations. Thought & Action: The NEA Higher Education Journal, 26, 7-22.
  8. 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

Authors

Kelly D. Bradley This is me

Eric M. Snyder This is me

Angela K. Tombari This is me

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

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