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Robert M. Nosofsky

Affiliations: 
Indiana University, Bloomington, Bloomington, IN, United States 
Area:
categorization, mathematical psychology
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"Robert Nosofsky"
Mean distance: 13.88 (cluster 15)
 		SNBCP
Cross-listing: PsychTree - MathTree

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Parents

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William K. Estes grad student Indiana University
R Duncan Luce grad student Indiana University

Children

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Esra Aksu grad student Indiana University
Francisco J. Parada grad student Indiana University
Craig A. Sanders grad student
Ronaldo Vigo grad student Indiana University
Safa Zaki grad student Indiana University
Thomas J. Palmeri grad student 1991-1995 Indiana University
Pietro E. Michelucci grad student 2000 Indiana University
Andrew L. Cohen grad student 2002 Indiana University
Roger D. Stanton grad student 2000-2007 Indiana University
Gregory Edward Cox grad student 2009-2015 Indiana University
Mario Fifić post-doc Indiana University (PsychTree)
Todd M. Gureckis post-doc 2005-2007 Indiana University
Daniel R. Little post-doc 2008-2010 Indiana University
Stephen E. Denton post-doc 2009-2011 Vanderbilt

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Publications

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Meagher BJ, McDaniel MA, Nosofsky RM. (2021) Effects of feature highlighting and causal explanations on category learning in a natural-science domain. Journal of Experimental Psychology. Applied
Nosofsky RM, Cao R, Harding SM, et al. (2020) Modeling short- and long-term memory contributions to recent event recognition. Journal of Experimental Psychology. Learning, Memory, and Cognition
Nosofsky RM, Slaughter C, McDaniel MA. (2019) Learning hierarchically organized science categories: simultaneous instruction at the high and subtype levels. Cognitive Research: Principles and Implications. 4: 48
Miyatsu T, Nosofsky RM, McDaniel MA. (2019) Effects of specific-level versus broad-level training for broad-level category learning in a complex natural science domain. Journal of Experimental Psychology. Applied
Meagher BJ, Carvalho PF, Goldstone RL, et al. (2018) Correction to: Organized simultaneous displays facilitate learning of complex natural science categories. Psychonomic Bulletin & Review
Nosofsky RM, Sanders CA, Zhu X, et al. (2018) Model-guided search for optimal natural-science-category training exemplars: A work in progress. Psychonomic Bulletin & Review
Miyatsu T, Gouravajhala R, Nosofsky RM, et al. (2018) Feature highlighting enhances learning of a complex natural-science category. Journal of Experimental Psychology. Learning, Memory, and Cognition
Meagher BJ, Cataldo K, Douglas BJ, et al. (2018) Training of Rock Classifications: The Use of Computer Images versus Physical Rock Samples. Journal of Geoscience Education. 66: 221-230
Cao R, Shiffrin RM, Nosofsky RM. (2017) Item frequency in probe-recognition memory search: Converging evidence for a role of item-response learning. Memory & Cognition
Nosofsky RM, Sanders CA, McDaniel MA. (2017) Tests of an Exemplar-Memory Model of Classification Learning in a High-Dimensional Natural-Science Category Domain. Journal of Experimental Psychology. General
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