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Martín-Brufau, Ramón; Berná, Javier Corbalán – Creativity Research Journal, 2021
More than 50 years since the introduction of the concept of divergent production, little progress has been made in the development of parsimonious theoretical models that sufficiently explain creativity. Recently, the optimal foraging theory has been used to explain the search for items in memory tasks, suggesting the correspondence between the…
Descriptors: Creative Thinking, Task Analysis, Cognitive Processes, Creativity
Karwowski, Maciej; Gralewski, Jacek – Thinking Skills and Creativity, 2013
The threshold hypothesis (TH) assumes the existence of complex relations between creative abilities and intelligence: linear associations below 120 points of IQ and weaker or lack of associations above the threshold. However, diverse results have been obtained over the last six decades--some confirmed the hypothesis and some rejected it. In this…
Descriptors: Intelligence, Item Response Theory, Creativity, Creative Thinking
von Suchodoletz, Antje; Uka, Fitim; Larsen, Ross A. A. A. – Early Education and Development, 2015
Research Findings: The importance of self-regulation for children's successful academic performance has led to greatly increased interest in this topic in recent years. However, less is known about the interrelations among self-regulatory processes across different contexts. The present study investigated the structure of self-regulation in young…
Descriptors: Foreign Countries, Self Control, Context Effect, Factor Analysis
Creed, Peter A.; Conlon, Elizabeth G.; Dhaliwal, Kamal – Journal of Career Assessment, 2013
We used two studies to evaluate, modify, and provide initial validation for a revised Academic Hardiness scale. First, 16 experts rated scale items for content validity and identified two problematic questions. Second, confirmatory factor analyses with 300 Grade 10 students (46% boys, age range 14-17) identified a 17-item version to be the best…
Descriptors: Measures (Individuals), Test Validity, Content Validity, Factor Analysis
Karagiannakis, Giannis N.; Baccaglini-Frank, Anna E.; Roussos, Petros – Australian Journal of Learning Difficulties, 2016
Through a review of the literature on mathematical learning disabilities (MLD) and low achievement in mathematics (LA) we have proposed a model classifying mathematical skills involved in learning mathematics into four domains (Core number, Memory, Reasoning, and Visual-spatial). In this paper we present a new experimental computer-based battery…
Descriptors: Mathematics Skills, Mathematical Aptitude, Skill Analysis, Learning Disabilities
Guzman-Orth, Danielle; Grimm, Ryan; Gerber, Michael; Orosco, Michael; Swanson, H. Lee; Lussier, Cathy – Journal of Psychoeducational Assessment, 2015
The Working Memory Rating Scale (WMRS) was designed as a behavioral rating tool to assist teachers in identifying students at risk of working memory difficulties. The instrument was originally normed on 417 monolingual English-speaking children from the United Kingdom. The purpose of this study was to test the reliability and validity of the WMRS…
Descriptors: Short Term Memory, Rating Scales, Psychometrics, English Language Learners
Salmi, Hannu; Thuneberg, Helena; Vainikainen, Mari-Pauliina – European Journal of Engineering Education, 2016
Outreach activities, like mobile science exhibitions, give opportunities to hands-on experiences in an attractive learning environment. We analysed attitudes, motivation and learning during a science exhibition visit, their relations to gender and future educational plans in Finland, Estonia, Latvia and Belgium (N = 1210 sixth-graders). Pupils'…
Descriptors: Foreign Countries, Work Attitudes, Gender Differences, Outreach Programs
Can, Bilge Taskin; Gunhan, Berna Canturk; Erdal, Sevinc Ongel – EURASIA Journal of Mathematics, Science & Technology Education, 2012
In this study, an instrument, Using Mathematics in Science Self-efficacy Scale (UMSSS), was developed in order to determine preservice science teachers' self-efficacy toward the use of mathematics in their lessons. Data gathered from 250 preservice science teachers were used for Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis…
Descriptors: Factor Analysis, Self Efficacy, Science Teachers, Measurement

Paul, Steven M. – Journal of Experimental Education, 1986
Normative data for the Advanced Raven's Progressive Matrices are presented based on 300 University of California, Berkeley, students. Correlations with the Wechsler Adult Intelligence Scale and the Terman Concept Mastery Test are explored. The relationship between the Advanced Raven's Progressive Matrices and Spearman's g is explored. (Author)
Descriptors: Aptitude Tests, Cognitive Measurement, Comparative Testing, Correlation

Vernon, Philip A. – Intelligence, 1981
Mildly retarded young adults were given simple and choice reaction time (RT) tests. Subjects' RTs increased with stimulus complexity. RTs of retarded subjects were slower and evidenced more intraindividual variability than those of nonretarded subjects. Several RT parameters were related to measures of intelligence. (Author/RD)
Descriptors: Adults, Cognitive Processes, Correlation, Factor Analysis

Jensen, Arthur R. – Intelligence, 1987
This study is based on three distinct elementary cognitive tasks using chronometric techniques: (1) the S. Sternberg memory scan task, (2) a visual scan task; and (3) the Hick paradigm. Certain parameters of the tasks are compared experimentally and correlationally. Subjects were 48 university students, tested and retested on the tasks in a…
Descriptors: Cognitive Processes, College Students, Correlation, Encoding (Psychology)

Vernon, Philip A. – Intelligence, 1983
This study investigated the relationship between measures of speed of cognitive information processing and intelligence test scores. Cognitive processing measures were significantly related to IQ scores. Reaction time tests measure cognitive operations basic to intelligence, and individual differences in intelligence are partly due to variability…
Descriptors: Cognitive Processes, Correlation, Factor Analysis, Higher Education