Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 8 |
Descriptor
Individual Differences | 8 |
Inferences | 8 |
Models | 8 |
Bayesian Statistics | 4 |
Learning Processes | 3 |
Bias | 2 |
Cognitive Ability | 2 |
Elementary School Students | 2 |
Foreign Countries | 2 |
Knowledge Level | 2 |
Language Tests | 2 |
More ▼ |
Source
Journal of Experimental… | 3 |
American Psychologist | 1 |
Cognitive Science | 1 |
International Educational… | 1 |
Language Testing | 1 |
National Center for Research… | 1 |
Author
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Opinion Papers | 1 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 3 |
Higher Education | 2 |
Postsecondary Education | 2 |
Elementary Secondary Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Italy | 2 |
California | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hayes, Brett K.; Liew, Shi Xian; Desai, Saoirse Connor; Navarro, Danielle J.; Wen, Yuhang – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The samples of evidence we use to make inferences in everyday and formal settings are often subject to selection biases. Two property induction experiments examined group and individual sensitivity to one type of selection bias: sampling frames - causal constraints that only allow certain types of instances to be sampled. Group data from both…
Descriptors: Logical Thinking, Inferences, Bias, Individual Differences
Henry Markovits; Valerie A. Thompson – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Mental model (Johnson-Laird, 2001) and probabilistic theories (Oaksford & Chater, 2009) claim to provide distinct explanations of human reasoning. However, the dual strategy model of reasoning suggests that this distinction corresponds to different reasoning strategies, termed "counterexample" and "statistical,"…
Descriptors: Abstract Reasoning, Thinking Skills, Learning Strategies, Logical Thinking
Lloyd, Kevin; Sanborn, Adam; Leslie, David; Lewandowsky, Stephan – Cognitive Science, 2019
Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the…
Descriptors: Short Term Memory, Bayesian Statistics, Cognitive Ability, Individual Differences
Zonca, Joshua; Coricelli, Giorgio; Polonio, Luca – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the…
Descriptors: Eye Movements, Individual Differences, Task Analysis, Futures (of Society)
Tobia, Valentina; Ciancaleoni, Matteo; Bonifacci, Paola – Language Testing, 2017
In this study, two alternative theoretical models were compared, in order to analyze which of them best explains primary school children's text comprehension skills. The first one was based on the distinction between two types of answers requested by the comprehension test: local or global. The second model involved texts' input modality: written…
Descriptors: Elementary School Students, Language Tests, Foreign Countries, Comparative Analysis
Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
Perilloux, Carin; Lewis, David M. G.; Goetz, Cari D.; Fleischman, Diana S.; Easton, Judith A.; Confer, Jaime C.; Buss, David M. – American Psychologist, 2010
Replies to comments on Evolutionary psychology: Controversies, questions, prospects, and limitations by Confer et al. The purpose of which was to clarify the logic of evolutionary psychology and clear up some of the more common misunderstandings about it. In this response, we address the key points raised by the commentators.
Descriptors: Evolution, Psychology, Individual Differences, Bias
Seltzer, Michael; Kim, Jinok – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
Individual differences in response to a given treatment have been a longstanding interest in education. While many evaluation studies focus on average treatment effects (i.e., the effects of treatments on the levels of outcomes of interest), this paper additionally considers estimating the effects of treatments on the dispersion in outcomes.…
Descriptors: Individual Characteristics, Mathematics Instruction, Inferences, Conventional Instruction