Simulating Realistic Psychological Response Data
Using computational models and statistical algorithms to simulate human decision processes has become an exciting area of contemporary psychological research. Additionally, algorithms that generate realistic data can be used to enhance the realism of the exercises and examples used in psychology courses, especially those that focus on quantitative topics such as statistics and research methods. The goal of this project was to develop and test an algorithm for simulating realistic psychological response data (e.g., Likert-type scale responses). This algorithm will be based upon contemporary theoretical models of psychological decision-making, and will be freely available to researchers and instructors. Potential applications for this algorithm include computational modeling or simulation research that requires a validated algorithm to simulate realistic psychological response data as well as pedagogical exercises that incorporate realistic psychological response data to increase student engagement.
Morse, Brendan J. (2013). Simulating Realistic Psychological Response Data. CARS Summer Grants. Item 150.