Structural Equation Models and Student Evaluation of Teaching: A PLS Path Modeling Study

Author(s):  
Simona Balzano ◽  
Laura Trinchera
2021 ◽  
Vol 8 (1) ◽  
pp. 139-157
Author(s):  
Regina Thetsane

Many Higher Education Institutions use the Student Evaluation of Teaching (SET) scale to evaluate the quality of instructors’ teaching. It includes students’ evaluation of the teacher, the teaching process, teaching approaches and the learning outcomes. Due to its reported dubious reliability and validity, and inherent bias in measuring the quality of teaching, SET remains a hotly debated and controversial instrument. This study evaluated thereliability and validity of the SET scale adopted by the National University of Lesotho. Self-administered SET questionnaires were distributed to 104 third- and fourth-year Bachelor of Commerce students to evaluate ten lecturers, resulting in 751 assessment records. The data were analysed using the Statistical Package for the Social Sciences (SPSS) and Partial Least Squares Structural Equation Modelling (PLS-SEM). While the findings suggest that the SET instrument used at the university is reasonably reliable and valid, minor concerns were raised with regard to discriminant validity, and serious concerns in relation to content validity. Based on the existing literature and the psychometric properties of this SET instrument, it is recommended that university management exercise caution in using its results to make evaluative personnel decisions such as promotions, confirmations, and dismissals. It is also recommended that the SET instrument should be revised and validated and be primarily used for formative purposes such as obtaining feedback for the development of individual instructors. Key words: formative assessment, reliability, student evaluation of teaching, summative assessment, validity


Author(s):  
Bob Uttl

AbstractIn higher education, anonymous student evaluation of teaching (SET) ratings are used to measure faculty’s teaching effectiveness and to make high-stakes decisions about hiring, firing, promotion, merit pay, and teaching awards. SET have many desirable properties: SET are quick and cheap to collect, SET means and standard deviations give aura of precision and scientific validity, and SET provide tangible seemingly objective numbers for both high-stake decisions and public accountability purposes. Unfortunately, SET as a measure of teaching effectiveness are fatally flawed. First, experts cannot agree what effective teaching is. They only agree that effective teaching ought to result in learning. Second, SET do not measure faculty’s teaching effectiveness as students do not learn more from more highly rated professors. Third, SET depend on many teaching effectiveness irrelevant factors (TEIFs) not attributable to the professor (e.g., students’ intelligence, students’ prior knowledge, class size, subject). Fourth, SET are influenced by student preference factors (SPFs) whose consideration violates human rights legislation (e.g., ethnicity, accent). Fifth, SET are easily manipulated by chocolates, course easiness, and other incentives. However, student ratings of professors can be used for very limited purposes such as formative feedback and raising alarm about ineffective teaching practices.


2013 ◽  
Vol 83 (4) ◽  
pp. 598-642 ◽  
Author(s):  
Pieter Spooren ◽  
Bert Brockx ◽  
Dimitri Mortelmans

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