Daniel R. Little
Daniel R. Little
School of Psychological Sciences, The University of Melbourne
Bestätigte E-Mail-Adresse bei unimelb.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Small is beautiful: In defense of the small-N design
PL Smith, DR Little
Psychonomic Bulletin & Review 1, 1-19, 2018
2202018
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
1572010
Short-term memory scanning viewed as exemplar-based categorization.
RM Nosofsky, DR Little, C Donkin, M Fific
Psychological review 118 (2), 280, 2011
1522011
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
962018
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
922016
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
862011
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
822012
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
682013
Understanding the influence of distractors on workload capacity
DR Little, A Eidels, M Fific, T Wang
Journal of Mathematical Psychology 68, 25-36, 2015
672015
The appropriacy of averaging in the study of context effects
SX Liew, PDL Howe, DR Little
Psychonomic bulletin & review 23 (5), 1639-1646, 2016
542016
Knowledge and expertise
S Lewandowsky, D Little, ML Kalish
Handbook of applied cognition, 83-109, 2007
532007
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
472013
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
452018
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
442017
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
432017
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
392014
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
392013
Hemifield effects in multiple identity tracking
C Hudson, PDL Howe, DR Little
Public Library of Science 7 (8), e43796, 2012
292012
Beyond nonutilization: Irrelevant cues can gate learning in probabilistic categorization.
DR Little, S Lewandowsky
Journal of Experimental Psychology: Human Perception and Performance 35 (2), 530, 2009
292009
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
26*2017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20