What Determines Student Evaluation Scores? A Random Effects Analysis of Undergraduate Economics Classes
By Michael A. McPherson, R. Jewell, Myungsup Kim. 2009
123 citations recorded by the source corpus.
Subfields: Accounting, Education
View Paper: https://www.semanticscholar.org/paper/69b1f91828fae741b38cdd727b56dd533a928420
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In Accounting
In Education
- M. Goos
- A. Salomons
- Lauren A. Rivera
- Bert Brockx
- D. Mortelmans
- András Tilcsik
- P. Spooren
- H. Hornstein
Citations in the corpus
- On the Validity of Student Evaluation of Teaching (2013, result): “Nevertheless, some authors recommend adjusting raw SET scores in order to purge them of any known biasing effect, especially when these results are used for ranking (McPherson, 2006; McPherson et al., 2009; Santhanam & Hicks, 2001).”
- Measuring teaching quality in higher education: assessing selection bias in course evaluations (2017, methodology): “…information contained in course evaluations about teaching quality, we can adjust for such observable course and teacher characteristics to filter out the noise, as suggested by Greenwald and Gillmore (1997), McPherson (2006), McPherson and Jewell (2007), and McPherson et al. (2009), among others.”
- Scaling Down Inequality: Rating Scales, Gender Bias, and the Architecture of Evaluation (2019, background): “An established and growing body of work shows that teaching evaluations also contribute to gender inequalities within the profession (Abel and Meltzer 2007; Arbuckle and Williams 2003; Baldwin and Blattner 2003; Boring et al. 2016; MacNell et al. 2015; McPherson et al. 2009; Mengel et al. 2017; Sida”