Daniel R. Little

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Stephan LewandowskyProfessor of Psychology, University of BristolVerified email at bristol.ac.uk
Mario FificProfessor of Psychology, Grand Valley State UniversityVerified email at gvsu.edu
Robert NosofskyDistinguished Professor of Psychological and Brain Sciences, Indiana UniversityVerified email at indiana.edu
Simon James CropperCHDH, Psychology, University of MelbourneVerified email at unimelb.edu.au
Cheng-Ta YangNational Cheng Kung UniversityVerified email at mail.ncku.edu.tw
Ami EidelsSchool of Psychological Sciences, University of Newcastle, AustraliaVerified email at newcastle.edu.au
Margaret E Webbthe University of MelbourneVerified email at unimelb.edu.au
Tony WangCluey LearningVerified email at clueylearning.com
Chris DonkinLMU MunichVerified email at unsw.edu.au
Piers HoweUniversity of MelbourneVerified email at unimelb.edu.au
Paul M. GarrettPost Doctoral Fellow, The University of MelbourneVerified email at unimelb.edu.au
Philip L SmithProfessor of Mathematical Psychology, University of MelbourneVerified email at iprimus.com.au
Joseph W. HouptUniversity of Texas at San AntonioVerified email at utsa.edu
Joshua P WhiteUniversity of MelbourneVerified email at unimelb.edu.au
Simon DennisProfessor, University of MelbourneVerified email at unimelb.edu.au
Anthea G. BlundenThe University of MelbourneVerified email at unimelb.edu.au
Andrew PerforsUniversity of MelbourneVerified email at unimelb.edu.au
Yoshihisa KashimaProfessor of Psychology, The University of MelbourneVerified email at unimelb.edu.au
Joachim VandekerckhoveUniversity of California, IrvineVerified email at uci.edu
Zita OraveczThe Pennsylvania State UniversityVerified email at psu.edu

Daniel R. Little

Melbourne School of Psychological Sciences, The University of Melbourne

Verified email at unimelb.edu.au - Homepage

Mathematical Psychology Categorization Systems Factorial Technology Response Time Recognition Memory


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Small is beautiful: In defense of the small-N design PL Smith, DR Little Psychonomic Bulletin & Review 1, 1-19, 2018	293	2018
Logical-rule models of classification response times: A synthesis of mental-architecture, random-walk, and decision-bound approaches. M Fific, DR Little, RM Nosofsky Psychological review 117 (2), 309, 2010	165	2010
Short-term memory scanning viewed as exemplar-based categorization. RM Nosofsky, DR Little, C Donkin, M Fific Psychological review 118 (2), 280, 2011	157	2011
Insight is not in the problem: Investigating insight in problem solving across task types ME Webb, DR Little, SJ Cropper Frontiers in Psychology 7, 1424, 2016	120	2016
Metastudies for robust tests of theory B Baribault, C Donkin, DR Little, JS Trueblood, Z Oravecz, ... Proceedings of the National Academy of Sciences 115 (11), 2607-2612, 2018	118	2018
Activation in the neural network responsible for categorization and recognition reflects parameter changes RM Nosofsky, DR Little, TW James Proceedings of the National Academy of Sciences 109 (1), 333-338, 2012	89	2012
Response-time tests of logical-rule models of categorization. DR Little, RM Nosofsky, SE Denton Journal of Experimental Psychology: Learning, Memory, and Cognition 37 (1), 1, 2011	89	2011
Logical rules and the classification of integral-dimension stimuli. DR Little, RM Nosofsky, C Donkin, SE Denton Journal of Experimental Psychology: Learning, Memory, and Cognition 39 (3), 801, 2013	74	2013
Understanding the influence of distractors on workload capacity DR Little, A Eidels, M Fific, T Wang Journal of Mathematical Psychology 68, 25-36, 2015	70	2015
Knowledge and expertise S Lewandowsky, D Little, ML Kalish Handbook of applied cognition, 83-109, 2007	63	2007
Once more with feeling: Normative data for the aha experience in insight and noninsight problems ME Webb, DR Little, SJ Cropper Behavior research methods 50 (5), 2035-2056, 2018	60	2018
The appropriacy of averaging in the study of context effects SX Liew, PDL Howe, DR Little Psychonomic bulletin & review 23 (5), 1639-1646, 2016	58	2016
The contributions of convergent thinking, divergent thinking, and schizotypy to solving insight and non-insight problems ME Webb, DR Little, SJ Cropper, K Roze Thinking & Reasoning 23, 235-258, 2017	56	2017
Assessing the speed-accuracy trade-off effect on the capacity of information processing. C Donkin, DR Little, JW Houpt Journal of Experimental Psychology: Human Perception and Performance, 2013	52	2013
Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms DR Little, N Altieri, M Fific, CT Yang Elsevier Academic Press, 2017	49	2017
Working memory capacity and fluid abilities: The more difficult the item, the more more is better DR Little, S Lewandowsky, S Craig Frontiers in psychology 5 (239), 1-13, 2014	47	2014
Working memory capacity and fluid abilities: The more difficult the item, the more more is better DR Little, S Lewandowsky, S Craig Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science …, 2013	47	2013
The acceptability and uptake of smartphone tracking for COVID-19 in Australia PM Garrett, JP White, S Lewandowsky, Y Kashima, A Perfors, DR Little, ... PloS one 16 (1), e0244827, 2021	39	2021
Hemifield effects in multiple identity tracking C Hudson, PDL Howe, DR Little Public Library of Science 7 (8), e43796, 2012	33	2012
Historical foundations and a tutorial introduction to systems factorial technology N Altieri, M Fifić, DR Little, CT Yang Systems Factorial Technology: A Theory Driven Methodology for the …, 2017	31*	2017

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