Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Daniel R Little

Showing results (1-10 of 53) with videos related to

Pageof 6
Sort By:
Behavior Research Methods|April 25, 2012
Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response timeDaniel R Little
Journal of Experimental Psychology. Learning, Memory, and Cognition|July 10, 2009
Better learning with more error: probabilistic feedback increases sensitivity to correlated cues in categorizationDaniel R Little, Stephan Lewandowsky
Journal of Experimental Psychology. Human Perception and Performance|April 1, 2009
Beyond nonutilization: irrelevant cues can gate learning in probabilistic categorizationDaniel R Little, Stephan Lewandowsky
The Behavioral and Brain Sciences|May 9, 2019
Replication is already mainstream: Lessons from small-N designsDaniel R Little, Philip L Smith
Journal of Experimental Psychology. General|November 17, 2022
Further tests of sequence-sensitive models in a modified garner task using separable dimensionsDeborah J Lin, Daniel R Little
Psychonomic Bulletin & Review|March 21, 2018
Small is beautiful: In defense of the small-N designPhilip L Smith, Daniel R Little
Memory & Cognition|October 6, 2010
Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary modelsRobert M Nosofsky, Daniel R Little
Attention, Perception & Psychophysics|August 29, 2025
Second-order facial features are processed analytically in composite facesXue Jun Cheng, Daniel R Little
Behavior Research Methods|August 10, 2016
Statistical analyses of the resilience functionJoseph W Houpt, Daniel R Little
Frontiers in Psychology|April 9, 2014
Working memory capacity and fluid abilities: the more difficult the item, the more more is betterDaniel R Little, Stephan Lewandowsky, Stewart Craig
Pageof 6

Showing results (1-10 of 53) with videos related to

Sort By:
Pageof 6
Behavior Research Methods|April 25, 2012
Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response timeDaniel R Little
Journal of Experimental Psychology. Learning, Memory, and Cognition|July 10, 2009
Better learning with more error: probabilistic feedback increases sensitivity to correlated cues in categorizationDaniel R Little, Stephan Lewandowsky
Journal of Experimental Psychology. Human Perception and Performance|April 1, 2009
Beyond nonutilization: irrelevant cues can gate learning in probabilistic categorizationDaniel R Little, Stephan Lewandowsky
The Behavioral and Brain Sciences|May 9, 2019
Replication is already mainstream: Lessons from small-N designsDaniel R Little, Philip L Smith
Journal of Experimental Psychology. General|November 17, 2022
Further tests of sequence-sensitive models in a modified garner task using separable dimensionsDeborah J Lin, Daniel R Little
Psychonomic Bulletin & Review|March 21, 2018
Small is beautiful: In defense of the small-N designPhilip L Smith, Daniel R Little
Memory & Cognition|October 6, 2010
Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary modelsRobert M Nosofsky, Daniel R Little
Attention, Perception & Psychophysics|August 29, 2025
Second-order facial features are processed analytically in composite facesXue Jun Cheng, Daniel R Little
Behavior Research Methods|August 10, 2016
Statistical analyses of the resilience functionJoseph W Houpt, Daniel R Little
Frontiers in Psychology|April 9, 2014
Working memory capacity and fluid abilities: the more difficult the item, the more more is betterDaniel R Little, Stephan Lewandowsky, Stewart Craig
Pageof 6