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Stocco, Andrea; Prat, Chantel S.; Graham, Lauren K. – Cognitive Science, 2021
The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about…
Descriptors: Individual Differences, Rewards, Abstract Reasoning, Problem Solving
Ellis, Derek M.; Robison, Matthew K.; Brewer, Gene A. – Journal of Intelligence, 2021
Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as the compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been…
Descriptors: Cognitive Ability, Problem Solving, Short Term Memory, Attention Control
Jonsson, Bert; Wiklund-Hörnqvist, Carola; Stenlund, Tova; Andersson, Micael; Nyberg, Lars – Journal of Educational Psychology, 2021
The testing effect, defined as the positive effect of "retrieval practice" (i.e., self-testing) on long-term memory retention relative to other ways to support learning, is a robust empirical phenomenon. Despite substantial scientific evidence for the testing effect, less is known about its effectiveness in relation to individual…
Descriptors: Testing, Cognitive Ability, Individual Differences, Secondary School Students
Minear, Meredith; Coane, Jennifer H.; Boland, Sarah C.; Cooney, Leah H.; Albat, Marissa – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The authors examined whether individual differences in fluid intelligence (gF) modulate the testing effect. Participants studied Swahili--English word pairs and repeatedly studied half the pairs or attempted retrieval, with feedback, for the remaining half. Word pairs were easy or difficult to learn. Overall, participants showed a benefit of…
Descriptors: Individual Differences, Intelligence, Information Retrieval, Testing
Mulligan, Neil W.; Rawson, Katherine A.; Peterson, Daniel J.; Wissman, Kathryn T. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Although memory retrieval often enhances subsequent memory, Peterson and Mulligan (2013) reported conditions under which retrieval produces poorer subsequent recall--the negative testing effect. The item-specific--relational account proposes that the effect occurs when retrieval disrupts interitem organizational processing relative to the restudy…
Descriptors: Testing, Recall (Psychology), Memory, Cognitive Ability
Hintz, Florian; Jongman, Suzanne R.; Dijkhuis, Marjolijn; van 't Hoff, Vera; McQueen, James M.; Meyer, Antje S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Lexical access is a core component of word processing. In order to produce or comprehend a word, language users must access word forms in their mental lexicon. However, despite its involvement in both tasks, previous research has often studied lexical access in either production or comprehension alone. Therefore, it is unknown to which extent…
Descriptors: Individual Differences, Language Processing, Vocabulary Skills, Language Usage
Unsworth, Nash; Robison, Matthew K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
A great deal of prior research has examined the relation between working memory capacity (WMC) and attention control. The current study explored the role of arousal in individual differences in WMC and attention control. Participants performed multiple WMC and attention control tasks. During the attention control tasks participants were…
Descriptors: Arousal Patterns, Short Term Memory, Attention Control, Correlation

Kranzler, John H.; Jensen, Arthur R. – Intelligence, 1991
This study investigated whether a unitary elemental process or several independent processes underlie psychometric "g" (factor of general intelligence). Results with 101 college students administered 2 intelligence tests and a large battery of elementary cognitive tasks suggest that as many as 4 independent components make up…
Descriptors: Cognitive Measurement, College Students, Factor Structure, Higher Education

Carroll, John B. – Intelligence, 1991
Because they used an inappropriate statistical procedure, J. H. Kranzler and A. R. Jensen (1991) have not demonstrated that a factor of general intelligence ("g") depends on several independent factors. A factorial reanalysis of their data suggests that speed and efficiency of information processing are important in "g." (SLD)
Descriptors: Cognitive Measurement, College Students, Factor Analysis, Factor Structure