Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 52 |
Descriptor
Probability | 85 |
Models | 41 |
Cognitive Processes | 22 |
Decision Making | 22 |
Prediction | 17 |
Theories | 16 |
Bayesian Statistics | 15 |
Bias | 9 |
Statistical Analysis | 9 |
Psychological Studies | 8 |
Risk | 8 |
More ▼ |
Source
Psychological Review | 85 |
Author
Hahn, Ulrike | 4 |
Busemeyer, Jerome R. | 3 |
Gigerenzer, Gerd | 3 |
Regenwetter, Michel | 3 |
Tenenbaum, Joshua B. | 3 |
Tversky, Amos | 3 |
Warren, Paul A. | 3 |
Birnbaum, Michael H. | 2 |
Dana, Jason | 2 |
Davis-Stober, Clintin P. | 2 |
Erev, Ido | 2 |
More ▼ |
Publication Type
Journal Articles | 82 |
Reports - Evaluative | 34 |
Opinion Papers | 17 |
Reports - Research | 17 |
Reports - Descriptive | 15 |
Information Analyses | 4 |
Speeches/Meeting Papers | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Brady, Timothy F.; Tenenbaum, Joshua B. – Psychological Review, 2013
When remembering a real-world scene, people encode both detailed information about specific objects and higher order information like the overall gist of the scene. However, formal models of change detection, like those used to estimate visual working memory capacity, assume observers encode only a simple memory representation that includes no…
Descriptors: Short Term Memory, Visual Perception, Change, Identification
Orhan, A. Emin; Jacobs, Robert A. – Psychological Review, 2013
Experimental evidence suggests that the content of a memory for even a simple display encoded in visual short-term memory (VSTM) can be very complex. VSTM uses organizational processes that make the representation of an item dependent on the feature values of all displayed items as well as on these items' representations. Here, we develop a…
Descriptors: Short Term Memory, Visual Perception, Cognitive Processes, Bias
Lee, Michael D.; Pooley, James P. – Psychological Review, 2013
The scale-invariant memory, perception, and learning (SIMPLE) model developed by Brown, Neath, and Chater (2007) formalizes the theoretical idea that scale invariance is an important organizing principle across numerous cognitive domains and has made an influential contribution to the literature dealing with modeling human memory. In the context…
Descriptors: Recall (Psychology), Memory, Models, Equations (Mathematics)
Fennell, John; Baddeley, Roland – Psychological Review, 2012
Empirical research has shown that when making choices based on probabilistic options, people behave as if they overestimate small probabilities, underestimate large probabilities, and treat positive and negative outcomes differently. These distortions have been modeled using a nonlinear probability weighting function, which is found in several…
Descriptors: Bayesian Statistics, Probability, Psychology, Selection
Tybur, Joshua M.; Lieberman, Debra; Kurzban, Robert; DeScioli, Peter – Psychological Review, 2013
Interest in and research on disgust has surged over the past few decades. The field, however, still lacks a coherent theoretical framework for understanding the evolved function or functions of disgust. Here we present such a framework, emphasizing 2 levels of analysis: that of evolved function and that of information processing. Although there is…
Descriptors: Cognitive Processes, Psychological Patterns, Motivation, Decision Making
Hahn, Ulrike; Warren, Paul A. – Psychological Review, 2010
In this postscript the authors summarize where Sun, Tweney, and Wang (see record 2010-06891-015) now agree with their original analysis and where differences of opinion remain. Sun et al.'s (see record 2010-06891-018) postscript contrasted two positions, one emphasizing the "limited and finite nature of people's experience" and one emphasizing the…
Descriptors: Probability, Statistics, Differences, Opinions
Hahn, Ulrike; Warren, Paul A. – Psychological Review, 2010
We (Hahn & Warren, 2009) recently proposed a new account of the systematic errors and biases that appear to be present in people's perception of randomly generated events. In a comment on that article, Sun, Tweney, and Wang (2010) critiqued our treatment of the gambler's fallacy. We had argued that this fallacy was less gross an error than it…
Descriptors: Probability, Incidence, Prediction, Misconceptions
Regenwetter, Michel; Dana, Jason; Davis-Stober, Clintin P. – Psychological Review, 2011
Transitivity of preferences is a fundamental principle shared by most major contemporary rational, prescriptive, and descriptive models of decision making. To have transitive preferences, a person, group, or society that prefers choice option "x" to "y" and "y" to "z" must prefer "x" to…
Descriptors: Decision Making, Selection, Attitudes, Models
Regenwetter, Michel; Dana, Jason; Davis-Stober, Clintin P.; Guo, Ying – Psychological Review, 2011
Birnbaum raised important challenges to testing transitivity. We summarize why an approach based on counting response patterns does not solve these challenges. Foremost, we show why parsimonious tests of transitivity require at least 5 choice alternatives. While the approach of Regenwetter, Dana, and Davis-Stober achieves high power with modest…
Descriptors: Testing, Item Response Theory, Responses, Evaluation Methods
Hotaling, Jared M.; Busemeyer, Jerome R.; Li, Jiyun – Psychological Review, 2010
Tsetsos, Usher, and Chater (2010) presented several criticisms of decision field theory (DFT) involving its distance function, instability under externally controlled stopping times, and lack of robustness to various multialternative choice scenarios. Here, we counter those claims with a specification of a distance function based on the…
Descriptors: Criticism, Decision Making, Prediction, Models
MacCoun, Robert J. – Psychological Review, 2012
[Correction Notice: An erratum for this article was reported in Vol 119(2) of Psychological Review (see record 2012-06153-001). In the article, incorrect versions of figures 3 and 6 were included. Also, Table 8 should have included the following information in the table footnote "P(A V) = probability of acquittal given unanimous verdict." All…
Descriptors: Social Influences, Probability, Item Response Theory, Psychological Studies
Sun, Yanlong; Tweney, Ryan D.; Wang, Hongbin – Psychological Review, 2010
On the basis of the statistical concept of waiting time and on computer simulations of the "probabilities of nonoccurrence" (p. 457) for random sequences, Hahn and Warren (2009) proposed that given people's experience of a finite data stream from the environment, the gambler's fallacy is not as gross an error as it might seem. We deal with two…
Descriptors: Statistics, Statistical Analysis, Probability, Time Perspective
Singh, Manish; Feldman, Jacob – Psychological Review, 2012
Lim and Leek (2012) presented a formalization of information along object contours, which they argued was an alternative to the approach taken in our article (Feldman & Singh, 2005). Here, we summarize the 2 approaches, showing that--notwithstanding Lim and Leek's (2012) critical rhetoric--their approach is substantially identical to ours,…
Descriptors: Geometry, Mathematics Education, Theories, Identification
Birnbaum, Michael H. – Psychological Review, 2011
This article contrasts 2 approaches to analyzing transitivity of preference and other behavioral properties in choice data. The approach of Regenwetter, Dana, and Davis-Stober (2011) assumes that on each choice, a decision maker samples randomly from a mixture of preference orders to determine whether "A" is preferred to "B." In contrast, Birnbaum…
Descriptors: Evidence, Testing, Computation, Probability
Goodman, Noah D.; Ullman, Tomer D.; Tenenbaum, Joshua B. – Psychological Review, 2011
The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate structure. We focus on knowledge about causality, seen as a domain-general intuitive theory, and ask whether this knowledge can be…
Descriptors: Causal Models, Logical Thinking, Cognitive Development, Bayesian Statistics