That problem is overcome when data is simulated. Â As many statistics instructors experience, it can be difficult to find a real dataset exactly as desired to teach specific topics. Simulating data provides a sense of control to the instructor unlike trying to find real data to help facilitate learning of statistical topics. model fit/lack of model fit, validation/invalidation of assumptions, evidence of a significant/lack of evidence of significant effects, etc.). This allows the instructor to create data that elicits specific results (i.e. Each dataset is simulated by the instructor. They do not, however, contain the same values for each observation. The datasets contain the same number of individual observations and variables. Students are each assigned a simulated dataset. All of their results, however, are distinct. Each student is provided the same introductory prompt and tasks to complete. This assignment is a unique learning opportunity for students. It may be extended to be a project or used as a weekly assignment. It may be part of a sequence of assignments that use the same dataset or a standalone assignment. This assignment may be presented in undergraduate level or graduate level courses. The assignment is designed for students registered in an inferential statistics course that covers Analysis of Variance. The assignment is designed to assess specialized knowledge, quantitative fluency, communicative fluency, and applied and collaborative learning. The students submit a formal APA style results section with appropriate tables, figures, and statistical tests to help support their findings.
Students use one-way between-subjects analysis of variance to answer a research question using a personalized data set. Introduction to SPSS using Simulation via T tests, regression, and ANOVA. Department of Graduate Psychology/Center for Assessment and Research Studies
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