Can we assess teaching quality on the basis of student outcomes? A stochastic frontier application
Bibliographic Data
| ID | 4096459 |
|---|---|
| Authors | Dimitris Giraleas (0000-0002-1464-0020, Aston Business School, Aston University, Birmingham, UK, corresponding author) |
| Year | 2021 |
| Volume | 46 |
| Issue | 7 |
| Pages | 1325-1339 |
| Publication date | 2021-07-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Studies in Higher Education (JOURNAL) |
| Journal identifiers | ISSN: 0307-5079 • E-ISSN: 1470-174X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03075079.2019.1679762 |
| OpenAlex | W2980984449 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
This paper proposes a new application of Stochastic Frontier Analysis (SFA) for estimating the student performance gap and how this can be used to assess changes of teaching quality at the individual unit-of-study level (module-level). Although there have been other examples in the literature that assess ‘efficiency’ in student outcomes, this is the first study that proposes the use of SFA specifically at the module level and with the goal of creating an aggregate measure of ‘quality’, thus avoiding the known issue of the statistical inconsistency of unit-specific SFA estimates. A case study is presented on how the approach can be applied in practice, with discussion on potential implementation issues. This paper is targeted to academics and policy makers that are interested in the quantitative assessment of student outcomes and specifically to those who want to assess how changes in module structure and/or delivery have affected said student outcomes
Actuarial science · Econometrics · Economic growth · Economics · Epistemology · Frontier · Higher education · Mathematics education · Pedagogy · Political science · Advanced Statistical Methods and Models · Efficiency Analysis Using DEA · Psychology · School Choice and Performance
Stochastic Frontier Analysis
Pisa 2012 Assessment and Analytical Framework
On the Validity of Student Evaluation of Teaching
Conceptual and Empirical Issues in the Estimation of Educational Production Functions
The Econometric Approach to Efficiency Analysis
A general methodology for bootstrapping in non-parametric frontier models
Statistics Anxiety
Efficiency in education
Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
Formulation and estimation of stochastic frontier production function models
Defining Quality
Enhancing teaching through constructive alignment
Evaluating our peers
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |