Michael Young, Ph. D.
Dr. Michael Young began his career as a computer scientist out of the University of Illinois in 1984 with a specialization in Artificial Intelligence. He received his MS in Computer Science in 1990 and a Ph.D. in Experimental Psychology from the University of Minnesota/Twin Cities in 1995. After spending 12 years at Southern Illinois University at Carbondale, Dr. Young joined Kansas State University in 2012 as the Head of the Department of Psychological Sciences.
Dr. Young's primary research program involves the study of decision making in dynamic environments. He is currently studying (a) the variables that influence the identification of causes in continuously unfolding environments and (b) the situational and individual variables related to impulsive and risky choice in video game environments. He continues to integrate his background in computer science with his interest in psychology through the development of computational models of environment-behavior relations. Dr. Young's love of mathematics also is revealed by his occasional side project evaluating various statistical and design methods using Monte Carlo simulation.
For more information, go to Dr. Young's laboratory web page.
Undergraduate students begin in the lab by getting involved in the conduct of ongoing research on judgment and decision making. The lab normally requires a two-semester commitment so that the student can progress to learning additional skills after mastering the basics. Undergraduate and graduate students attend weekly laboratory meetings where everyone is required to present at least once during the term in order to develop their presentation skills. Graduate students usually begin by getting involved in an ongoing project in order to learn the ropes. As their research interests evolve, they begin to develop independent projects as well as continuing to collaborate with Dr. Young and his students in their projects. His goal in graduate training is to prepare the student to function as an independent scientist.
By the way, Dr. Young loves to talk about research design and statistics, so you will come out with a strong skill set in these areas. Because of their strong statistical training, many of his previous graduate students have ended up teaching graduate statistics or doing significant statistical consulting as professors or postdoctoral scientists.
Current Graduate Students
- Tony McCoy
- Angela Crumer
- Lisa Vangsness
Grant Funding (last 5 years)
- Factors affecting consumer choice of confectionaries. PI of grant funded by the Hershey Company. Total award: $50,000. 2014.
- Waiting for a better future: Deciding when to “cash in” when outcomes are continuously improving. PI of grant funded by the National Institute for Drug Abuse (E.A. Jacobs, Co-Investigator). Total award: $218,250. 2010 – 2014.
- Young, M.E. (in press). A place for statistics in behavior analysis. Behavior Analysis: Research and Practice.
- Young, M.E. (in press). Discounting: A practical guide to multilevel analysis of choice data. Journal of the Experimental Analysis of Behavior.
- Young, M.E., Sutherland, S.C., & *McCoy, A.W. (in press). Optimal go/no-go ratios to maximize false alarms. Behavior Research Methods.
- Young, M.E. & *Crumer, A. (in press). Reaction times. In J. Vonk & T.K. Shackelford (Eds.), Encyclopedia of Animal Cognition and Behavior. Springer.
- Smith, T.R., Young, M.E., & Beran, M. J. (2017). Gambling in rhesus macaques (Macaca mulatta): The effects of cues signaling risky choice outcomes. Learning and Behavior, 45, 288-299.
- Young, M.E. (2017). Discounting: A practical guide to multilevel analysis of indifference data. Journal of the Experimental Analysis of Behavior, 108, 97-112.
- **Eckels, E.N., *Schlabach, M., Young, M.E., Eckels, S. (2017). Measured thermal comfort and sensation in highly transient environments. ASHRAE Transactions – 2017 Winter Conference – Las Vegas,123.
- Young, M.E., *McCoy, A.M., *Hutson, J.P., *Schlabach, M., & Eckels, S. (2017). Hot under the collar: The impact of heat on game play. Applied Ergonomics, 59, 209-214.
- Limongi, R., Habib, R., Young, M.E., & Reinke, K. (2016). Broca’s area activity in the lexical semantics of visual causal events: A functional connectivity study. Revista de Linguistica Teórica y Aplicada (Journal of Theoretical and Applied Linguistics), 54, 43-62.
- Sutherland, S.C., Harteveld, C., & Young, M.E. (2016). Effects of the advisor and environment on requesting and complying with automated advice. Association for Computing Machinery: Transactions on Interactive Intelligent Systems, 6(4), Article 27.
- Young, M.E., & *McCoy, A.W. (2016). Millennials and chocolate product ethics: Saying one thing and doing another. Food Quality and Preference, 49, 42-53.
- Young, M.E. (2016). The problem with categorical thinking by psychologists. Behavioural Processes, 123, 43-53.
- *Webb, T.L, & Young, M.E. (2015). Waiting when both certainty and magnitude are increasing: Certainty overshadows magnitude. Journal of Behavioral Decision Making, 28, 294-307. doi: 10.1002/bdm.1850.
- Peissig, J.J., Nagasaka, Y., Young, M.E., Wasserman, E.A., & Beiderman, I. (2015). Using the reassignment procedure to test object representation in pigeons and people. Learning and Behavior, 43, 188-207. Selected as Best Paper published in L&B in 2015.
- Sutherland, S.C., Harteveld, C., & Young, M.E. (2015). The role of environmental predictability and costs in relying on automation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2535-2544). Association for Computing Machinery: New York.
- *Rung, J., & Young, M.E. (2015). Learning to wait for more likely or just more: Greater tolerance to delays of reward with increasingly longer delays. Journal of the Experimental Analysis of Behavior, 103, 108-124.
- Young, M.E., & *McCoy, A.W. (2015). A delay discounting task produces a greater likelihood of waiting than a deferred gratification task. Journal of the Experimental Analysis of Behavior, 103, 180-195.