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- Title
Simulate to Understand Models, Not Nature.
- Authors
Dorans, Neil J.
- Abstract
Simulations are widely used. Simulations produce numbers that are deductive demonstrations of what a model says will happen. They produce numerical results that are consistent with the premises of the model used to generate the numbers. These simulated numerical results are not empirical data that address aspects of the world that lies outside the model. In contrast, empirical data are central to the scientific method. When a simulation is substituted for the assessment of hypotheses with real data, a false sense of understanding can ensue and with it a biased perspective on the world. To illustrate the limitations of simulation and their proper role, examples are drawn from simulation studies about score equating.
- Subjects
ABILITY grouping (Education); GRADING of students; SIMULATION methods in education; EDUCATIONAL tests &; measurements; SIMULATION methods in higher education
- Publication
ETS Research Reports Series, 2014, Vol 2014, Issue 2, p1
- ISSN
2330-8516
- Publication type
Article
- DOI
10.1002/ets2.12013