Joseph Johnson

Miami University (Ohio), Oxford, OH 
Decision Making
"Joseph Johnson"
Mean distance: 16.64 (cluster 50)


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James Townsend grad student Indiana University
Jerome R. Busemeyer grad student 2004 Indiana University
 (A computational modeling account of robust preference reversal phenomena.)
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Broeker L, Johnson JG, de Oliveira RF, et al. (2022) Switch rates vary due to expected payoff but not due to individual risk tendency. Acta Psychologica. 224: 103521
Frame ME, Johnson JG, Thomas RD. (2018) A neural indicator of response competition in preferential choice. Decision. 5: 272-286
Schulte-Mecklenbeck M, Johnson JG, Böckenholt U, et al. (2017) Process-Tracing Methods in Decision Making: On Growing Up in the 70s Current Directions in Psychological Science. 26: 442-450
Johnson JG, Busemeyer JR. (2016) A computational model of the attention process in risky choice. Decision. 3: 254-280
Ashby NJS, Johnson JG, Krajbich I, et al. (2016) Applications and Innovations of Eye-movement Research in Judgment and Decision Making Journal of Behavioral Decision Making. 29: 96-102
Johnson JG, Busemeyer JR. (2014) Rule-based decision field theory: A dynamic computational model of transitions among decision-making strategies The Routines of Decision Making. 1-20
Koop GJ, Johnson JG. (2013) The response dynamics of preferential choice. Cognitive Psychology. 67: 151-85
Ashby N, Johnson J, Krajbich I, et al. (2013) Special Issue of the Journal of Behavioral Decision Making on “Applications and Innovations of Eye‐Movement Research in Judgment and Decision Making” Journal of Behavioral Decision Making. 26: 404-404
Wang XT, Johnson JG. (2012) A tri-reference point theory of decision making under risk. Journal of Experimental Psychology. General. 141: 743-56
Glöckner A, Heinen T, Johnson JG, et al. (2012) Network approaches for expert decisions in sports. Human Movement Science. 31: 318-33
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