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Austerberry, Chloe; Fearon, Pasco; Ronald, Angelica; Leve, Leslie D.; Ganiban, Jody M.; Natsuaki, Misaki N.; Shaw, Daniel S.; Neiderhiser, Jenae M.; Reiss, David – Child Development, 2022
Intellectual performance is highly heritable and robustly predicts lifelong health and success but the earliest manifestations of genetic effects on this asset are not well understood. This study examined whether early executive function (EF) or verbal performance mediate genetic influences on subsequent intellectual performance, in 561 U.S.-based…
Descriptors: Child Development, Intelligence, Genetics, Executive Function
Razumnikova, Olga; Bakaev, Maxim – Journal of Intelligence, 2022
Despite the lasting interest towards the relationship between intelligence and creativity, comparably less attention is paid to its age-related changes. Our paper considers the organization of fluid intelligence and psychometric indicators of creativity and is based on the experimental data obtained for children aged 11 (n = 99) and for young…
Descriptors: Creativity, Intelligence, Elementary School Students, College Freshmen
Deer, LillyBelle K.; Hastings, Paul D.; Hostinar, Camelia E. – Child Development, 2020
This study utilized data from the Avon Longitudinal Study of Parents and Children (N = 14,860) to examine whether early-life family income (age 0-5) predicted long-term academic achievement (age 16-18) and to investigate the role of executive function (EF) assessed multiple times across age 7-11 in explaining this association. Task-based EF was a…
Descriptors: Family Income, Academic Achievement, Predictor Variables, Young Children
Morris, Su; Farran, Emily K.; Dumontheil, Iroise – Mind, Brain, and Education, 2019
Field independence describes the extent to which individuals are influenced by context when trying to identify embedded targets. It associates with cognitive functioning and is a predictor of academic achievement. However, little is known about the neural and cognitive underpinnings of field independence that lead to these associations. Here, we…
Descriptors: Cognitive Style, Age Differences, Cognitive Processes, Mathematics Tests
Lechuga, M. Teresa; Pelegrina, Santiago; Pelaez, Jose L.; Martin-Puga, M. Eva; Justicia, M. Jose – Educational Psychology, 2016
There is growing evidence supporting the importance of executive functions, and specifically working memory updating (WMU), for children's academic achievement. This study aimed to assess the specific contribution of updating to the prediction of academic performance. Two updating tasks, which included different updating components, were…
Descriptors: Short Term Memory, Predictor Variables, Academic Achievement, Grade 4
Zarrella, Immacolata; Lonigro, Antonia; Perrella, Raffaella; Caviglia, Giorgio; Laghi, Fiorenzo – Early Child Development and Care, 2018
The present research explored the relation between socio-cognitive skills, as Theory of Mind and affective empathy, social behaviour, attachment style and scholastic success in children, aged from 8 to 11 years (N = 159; 90 females, 69 males; M[subscript age] = 9,60; DS = 0.78). Several assessment tools were administered to children on mentalizing…
Descriptors: Social Behavior, Empathy, Child Development, Academic Achievement
Sahin, Feyzullah – Cogent Education, 2016
Creativity of the individual is dependent on numerous factors, such as knowledge, general intelligence and emotional intelligence. The general purpose of this study is to investigate the effect of general intelligence, emotional intelligence and academic knowledge on the emerging of domain-specific creativity. The study was conducted on 178…
Descriptors: Intelligence, Emotional Intelligence, Knowledge Level, Predictor Variables
Spinath, Birgit; Eckert, Christine; Steinmayr, Ricarda – Educational Research, 2014
Background: Education is a key variable for reaching individually and socially desired outcomes. Specifically, school grades are important admission criteria for higher education and job positions. Nowadays, in countries committed to equal opportunities, girls obtain better school grades than boys, but the reasons why girls outperform boys are not…
Descriptors: Gender Differences, Intelligence, Student Characteristics, Academic Achievement
Nelson, Jason M.; Canivez, Gary L. – Psychological Assessment, 2012
Empirical examination of the Reynolds Intellectual Assessment Scales (RIAS; C. R. Reynolds & R. W. Kamphaus, 2003a) has produced mixed results regarding its internal structure and convergent validity. Various aspects of validity of RIAS scores with a sample (N = 521) of adolescents and adults seeking psychological evaluations at a university-based…
Descriptors: Factor Analysis, Intelligence, Validity, Factor Structure
Dalia, Nasvytiene; Agne, Brandisauskiene – Gifted Education International, 2013
The identification of gifted children is an interactive procedure consisting of two consecutive steps--screening for above-average cognitive abilities, followed by their monitoring. Teacher nomination is among the most widely used methods of screening. However, it is not free from bias. The analysis of screening criteria is of prime importance for…
Descriptors: Gifted, Intelligence Tests, Factor Analysis, Cognitive Ability
de Koning, Bjorn B.; Loyens, Sofie M. M.; Rikers, Remy M. J. P.; Smeets, Guus; van der Molen, Henk T. – Learning and Individual Differences, 2012
This study investigated the simultaneous impact of demographic, personality, intelligence, and (prior) study performance factors on students' academic achievement in a three-year academic problem-based psychology program. Information regarding students' gender, age, nationality, pre-university education, high school grades, Big Five personality…
Descriptors: Personality Traits, Intelligence, Learning Activities, Academic Achievement
Vista, Alvin; Care, Esther – British Journal of Educational Psychology, 2011
Background: Research on gender differences in intelligence has focused mostly on samples from Western countries and empirical evidence on gender differences from Southeast Asia is relatively sparse. Aims: This article presents results on gender differences in variance and means on a non-verbal intelligence test using a national sample of public…
Descriptors: Evidence, Intelligence, Investigations, Females
Schmitt, Neal – Educational Psychologist, 2012
In considering and evaluating approaches to the admission of college students, the usual approach is to try to measure past academic achievement and primarily verbal and math ability on the assumption that these abilities will predict subsequent college academic grades and achievement. These measures do predict classroom achievement, though far…
Descriptors: Intelligence, College Students, Grade Point Average, College Admission
Steinmayr, Ricarda; Ziegler, Mattias; Trauble, Birgit – Learning and Individual Differences, 2010
Research in clinical samples suggests that the relationship between intelligence and academic achievement might be moderated by sustained attention. The present study aimed to explore whether this interaction could be observed in a non-clinical sample. We investigated a sample of 11th and 12th grade students (N = 231). An overall performance score…
Descriptors: Intelligence, Grade Point Average, Academic Achievement, Grade 11
Primi, Ricardo; Ferrao, Maria Eugenia; Almeida, Leandro S. – Learning and Individual Differences, 2010
The association between fluid intelligence and inter-individual differences was investigated using multilevel growth curve modeling applied to data measuring intra-individual improvement on math achievement tests. A sample of 166 students (88 boys and 78 girls), ranging in age from 11 to 14 (M = 12.3, SD = 0.64), was tested. These individuals took…
Descriptors: Intelligence, Academic Achievement, Achievement Tests, Grade 8
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