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Storek, Josephine; Furnham, Adrian – Learning and Individual Differences, 2013
Over 120 participants completed three timed intelligence tests, a self-estimated Domain Masculine (DMIQ) Intelligence scale, and a mindset "beliefs about intelligence" measure (Dweck, 2012) to examine correlates of the Hubris-Humility Effect (HHE) which shows males believe they are more intelligent than females. As predicted males gave…
Descriptors: Intelligence, Gender Differences, Beliefs, Intelligence Tests
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Kessels, Ursula; Steinmayr, Ricarda – Learning and Individual Differences, 2013
This study seeks to understand boys' lower academic success by analysing the relationship between sex, gender role self-concept, help seeking attitudes, and school performance in a sample of 182 German 11th grade students (83 girls, 99 boys), age 16. Grades at two points in time, intelligence test data, help-seeking attitudes, gender role…
Descriptors: Academic Achievement, Intelligence Tests, Sex Role, Intelligence
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Putwain, David W.; Kearsley, Rebecca; Symes, Wendy – Learning and Individual Differences, 2012
Previous work has suggested that creativity self-beliefs show only small relations with academic achievement and may only be related to intrinsic, not extrinsic motivation. We set out to re-examine these relationships accounting for the multifaceted and process embedded nature of creativity self-beliefs and the full domain range of extrinsic…
Descriptors: Intelligence, Creativity, Incentives, Student Motivation
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Rozencwajg, Paulette; Fenouillet, Fabien – Learning and Individual Differences, 2012
In this experiment we studied the effect of goal setting on the strategies used to perform a block design task called SAMUEL. SAMUEL can measure many indicators, which are then combined to determine the strategies used by participants when solving SAMUEL problems. Two experimental groups were created: one group was given an explicit, difficult…
Descriptors: Experimental Groups, Intelligence, Instructional Design, Goal Orientation
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Rosander, Pia; Backstrom, Martin – Learning and Individual Differences, 2012
The present study investigated the unique contribution of learning approaches to academic performance, also taking gender differences into account. The participant sample consisted of 476 school pupils (53% girls and 47% boys) from two upper secondary schools in Sweden who completed two self-reported measures related to personality and learning…
Descriptors: Academic Achievement, Females, Cognitive Ability, High School Students
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Lynn, Richard – Learning and Individual Differences, 2010
Wicherts, Dolan, Carlson & van der Maas (WDCM) (2010) contend that the average IQ in sub-Saharan Africa is about 76 in relation to a British mean of 100 and sd of 15. This result is achieved by including many studies of unrepresentative elite samples. Studies of acceptably representative samples indicate a sub-Saharan Africa IQ of…
Descriptors: Intelligence Quotient, Foreign Countries, Comparative Analysis, Intelligence Tests
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Calero, M. Dolores; Belen, Garcia-Martin M.; Robles, M. Auxiliadora – Learning and Individual Differences, 2011
In recent years, models of giftedness have incorporated personal and social variables which influence IQ, rather than taking IQ into account exclusively. Among the various options presented in this context, authors have proposed dynamic assessment techniques as a method for revealing the potential capacity in different groups, independently of the…
Descriptors: Middle Class, Gifted, Intelligence Quotient, Identification
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Rosander, Pia; Backstrom, Martin; Stenberg, Georg – Learning and Individual Differences, 2011
The aim of the present study was to investigate the extent to which personality traits, after controlling for general intelligence, predict academic performance in different school subjects. Upper secondary school students in Sweden (N=315) completed the Wonderlic IQ test (Wonderlic, 1992) and the IPIP-NEO-PI test (Goldberg, 1999). A series of…
Descriptors: Personality Traits, Intelligence, Structural Equation Models, Academic Achievement
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Miller, Robert; Rammsayer, Thomas H.; Schweizer, Karl; Troche, Stefan J. – Learning and Individual Differences, 2010
Several memory processes have been examined regarding their relation to psychometric intelligence with the exception of sensory memory. This study examined the relation between decay of iconic memory traces, measured with a partial-report task, and psychometric intelligence, assessed with the Berlin Intelligence Structure test, in 111…
Descriptors: Intelligence, Memory, Psychometrics, Correlation
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Furnham, Adrian; Crump, John – Learning and Individual Differences, 2013
In all 794 young people aged around 30 yrs completed three intelligence (Raven's Progressive matrices: GMA Numerical and GMA Verbal) and one personality inventory (16PF). They were all graduates and 173 were identified clearly as Arts graduates and 518 as Science students. There were various sex differences on all measures. All seven hypotheses…
Descriptors: Individual Differences, Intelligence Tests, Personality Measures, Art Education
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Wicherts, Jelte M.; Dolan, Conor V.; Carlson, Jerry S.; van der Maas, Han L. J. – Learning and Individual Differences, 2010
This paper presents a systematic review of published data on the performance of sub-Saharan Africans on Raven's Progressive Matrices. The specific goals were to estimate the average level of performance, to study the Flynn Effect in African samples, and to examine the psychometric meaning of Raven's test scores as measures of general intelligence.…
Descriptors: Intelligence, Academic Achievement, Predictive Validity, Foreign Countries
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Almeida, Leandro S.; Prieto, Maria Dolores; Ferreira, Aristides I.; Bermejo, Maria Rosario; Ferrando, Mercedes; Ferrandiz, Carmen – Learning and Individual Differences, 2010
In the multiple intelligence framework, newer and more contextualized cognitive tasks are suggested as alternative to more traditional psychometric tests. The purpose of this article is to examine whether or not these two types of instruments converge into a general factor of cognitive performance. Thus, the Battery of General and Differential…
Descriptors: Multiple Intelligences, Factor Analysis, Psychometrics, Cognitive Ability
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Wicherts, Jelte M.; Dolan, Conor V.; Carlson, Jerry S.; van der Maas, Han L. J. – Learning and Individual Differences, 2010
In his comment on our literature review of data on the performance of sub-Saharan Africans on Raven's Progressive Matrices, Lynn (this issue) criticized our selection of samples of primary and secondary school students. On the basis of the samples he deemed representative, Lynn concluded that the average IQ of sub-Saharan Africans stands at 67…
Descriptors: Legislators, Academic Achievement, Intelligence Quotient, Foreign Countries
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Kuo, Ching-Chih; Maker, June; Su, Fang-Liu; Hu, Chun – Learning and Individual Differences, 2010
The "Enrichment Program for Cultivating Problem Solving Abilities and Multiple Intelligences for Gifted Preschoolers" (PSMIGP program) was the first enrichment program for young gifted children in Taiwan. It was an extra-curricular program that was implemented over a 3-year period. The assessment and curriculum were designed by adapting…
Descriptors: Multiple Intelligences, Gifted, Portfolio Assessment, Enrichment Activities
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Ziegler, Matthias; Knogler, Maximilian; Buhner, Markus – Learning and Individual Differences, 2009
Studies on the interface between cognitive ability (intelligence) and personality in the prediction of academic performance have yielded mixed results so far. Especially an interaction between conscientiousness (and its facet achievement striving) and intelligence has been investigated. The hypothesis is that conscientiousness enhances the impact…
Descriptors: Intelligence, Academic Achievement, Intelligence Tests, Program Effectiveness
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