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Divya Sadana; Rajnish Kumar Gupta; Sanjeev Jain; S. S. Kumaran; Jamuna Rajeswaran – Gifted and Talented International, 2024
The present study aimed to explore the association between creativity, intelligence, and personality. The study recruited sixty healthy volunteers in the age range of 20-40 years from Bengaluru city (formerly Bangalore), South India, and administered tests for fluid intelligence (Raven's Standard Progressive Matrices), personality (Big Five…
Descriptors: Creativity, Personality, Intelligence, Correlation
Robison, Matthew K.; Brewer, Gene A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The present study examined individual differences in 3 cognitive abilities: attention control (AC), working memory capacity (WMC), and fluid intelligence (gF) as they relate the tendency to experience task-unrelated thoughts (TUTs) and the regulation of arousal. Cognitive abilities were measured with a battery of 9 laboratory tasks, TUTs were…
Descriptors: Individual Differences, Short Term Memory, Attention Control, Intelligence
Niazi, Sadia; Adil, Adnan – Journal of Education and Educational Development, 2021
The present study examined the mediating role of fluid intelligence between working memory (WM) and academic achievement and tested the invariance of this model across gender in a random sample of university students (N = 560, 228 boys & 332 girls). Heart and Flower task (Diamond, 2013) and Raven's Standard Progressive Matrices[superscript TM]…
Descriptors: Intelligence, Short Term Memory, Academic Achievement, Correlation
Gallego, María Gómez; Perez de los Cobos, Alfonso Palazón; Gallego, Juan Cándido Gómez – Education Sciences, 2021
A main goal of the university institution should be to reduce the desertion of its students, in fact, the dropout rate constitutes a basic indicator in the accreditation processes of university centers. Thus, evaluating the cognitive functions and learning skills of students with an increased risk of academic failure can be useful for the adoption…
Descriptors: Identification, At Risk Students, Potential Dropouts, Cognitive Processes
Paz-Baruch, Nurit – High Ability Studies, 2020
The actiotope model of giftedness (AMG) highlights the interactions between the individual and the environment. Educational and learning capital (ELC) are essential resources that promote the development of excellence. The study objectives were to examine the contribution of educational capital (EC), learning capital (LC), and general intelligence…
Descriptors: Academic Ability, Predictor Variables, Intelligence, Academic Achievement
Józsa, Krisztián; Amukune, Stephen; Zentai, Gabriella; Barrett, Karen Caplovitz – Journal of Intelligence, 2022
Research has shown that the development of cognitive and social skills in preschool predicts school readiness in kindergarten. However, most longitudinal studies are short-term, tracking children's development only through the early elementary school years. This study aims to investigate the long-term impact of preschool predictors, intelligence,…
Descriptors: Foreign Countries, School Readiness, Intelligence Tests, Preschool Children
Blankson, A. Nayena; Gudmundson, Jessica A.; Kondeh, Memuna – Journal of Educational Psychology, 2019
Three aspects of cognition (fluid intelligence, executive functioning, and crystallized intelligence) in pre-K were examined as predictors of math and reading achievement in kindergarten among an economically diverse sample of 198 African American children. From a variable-centered perspective, confirmatory factor analyses revealed that the three…
Descriptors: Predictor Variables, Intelligence, Executive Function, Preschool Children
Harder, Bettina; O'Reilly, Colm; Debatin, Tobias – Journal for the Education of the Gifted, 2018
Intelligence is a well-supported predictor of school achievement, however, it refers only to the cognitive facet of learning determinants. The aim of this article is to contrast the predictive properties of two comprehensive concepts developed within the actiotope model of giftedness (AMG) with that of intelligence. These concepts are educational…
Descriptors: Intelligence, Predictor Variables, Academic Achievement, Intelligence Tests
Li, Yaoran; Sheldon, Kennon M.; Rouder, Jeffrey N.; Bergin, David A.; Geary, David C. – Journal of Psychoeducational Assessment, 2019
Self-referent performance beliefs can influence people's decision making related to long-term goals. Current measures of such beliefs, however, do not explicitly focus on the long-term aspects of goal achievement. We introduce a new concept, Long-Term Prospects (LTP), which is defined as the self-perception that one can maintain the continuous…
Descriptors: College Students, Academic Achievement, Student Attitudes, Beliefs
Alegre de la Rosa, Olga María; Villar Angulo, Luis Miguel – Education Sciences, 2019
This study aims to investigate whether emotional and behavioral difficulties (EBD) differ between children with cochlear implants (CIs) or hearing aids (HAs), according to multi-informant ratings. Methods: A battery of psychological measures (e.g., Strengths and Difficulties Questionnaire (SDQ), Illinois Test of Psycholinguistic Abilities (ITPA),…
Descriptors: Behavior Disorders, Emotional Disturbances, Hearing Impairments, Assistive Technology
Masrai, Ahmed; Milton, James – TESOL International Journal, 2017
Research has shown that general vocabulary knowledge (e.g., Milton & Treffers-Daller, 2013), academic vocabulary knowledge (e.g., Townsend et al., 2012) and general intelligence (e.g., Laidra et al., 2007) are good predictors of academic achievement. While the effect of these factors has mostly been examined separately, Townsend et al. (2012)…
Descriptors: English (Second Language), Academic Achievement, Predictor Variables, Intelligence
Role of Parent Literacy and Numeracy Expectations and Activities in Predicting Early Numeracy Skills
Segers, Eliane; Kleemans, Tijs; Verhoeven, Ludo – Mathematical Thinking and Learning: An International Journal, 2015
The home numeracy environment (i.e., parents' numeracy expectations and activities), is related to early numeracy in young children. As recent studies have shown that both cognitive and linguistic factors play an important role in predicting numeracy development, it may be assumed that rather than the home "numeracy" environment, the…
Descriptors: Parent Attitudes, Expectation, Mathematics Achievement, Numeracy
Protopapas, Athanassios; Mouzaki, Angeliki; Sideridis, Georgios D.; Kotsolakou, Areti; Simos, Panagiotis G. – Reading & Writing Quarterly, 2013
The simple view of reading posits that reading comprehension can be decomposed into a print-specific component (concerning decoding and sight word reading) and a language comprehension component (concerning verbal and metalinguistic skills not related to print). One might properly consider lexical skills, indexed by vocabulary measures, part of…
Descriptors: Vocabulary, Reading Skills, Reading Comprehension, Decoding (Reading)

Zeidner, Moshe – Evaluation and Program Planning, 1985
Two experiments were conducted in Israeli elementary schools to test the assumption that disadvantaged students perform poorly on ability tests because of situational factors related to the testing process. Testing atmosphere and examiner status were examined with respect to verbal and nonverbal ability and intelligence. The assumption was not…
Descriptors: Analysis of Variance, Comparative Testing, Disadvantaged Youth, Examiners