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Showing 1 to 15 of 89 results Save | Export
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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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Liu, Cheng-Hong – Learning and Individual Differences, 2012
Research has widely demonstrated that an incremental theory of intelligence is beneficial for students in achievement settings. The present study examined whether this theory can help students with high gelotophobia (i.e., the fear of being laughed at) confront challenges and clarified possible underlying processes. Theories of intelligence…
Descriptors: Intelligence, Fear, Priming, Academic Achievement
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Kaufman, James C. – Learning and Individual Differences, 2012
Self-estimated intelligence is a quick way to assess people's conceptions of their own abilities. Furnham (2001) and colleagues have used this technique to make comparisons across culture and gender and different approaches to intelligence (such as "g" or Multiple Intelligences). This study seeks to build on past work in two ways. First, a large,…
Descriptors: Multiple Intelligences, Hispanic Americans, Intelligence, Comparative Analysis
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D'Amico, Antonella; Cardaci, Maurizio; Di Nuovo, Santo; Naglieri, Jack A. – Learning and Individual Differences, 2012
Lynn (2010a, 2010b) argued that individuals from south Italy have a lower IQ than individuals from north Italy, and that these differences in IQ are at the basis of north-south gap in income, education, infant mortality, stature, and literacy. In the present paper, we discuss several theoretical and methodological aspects which we regard as flaws…
Descriptors: Intelligence, Intelligence Quotient, Foreign Countries, Cognitive Ability
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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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Zhao, Qin; Zhang, Jie; Vance, Kaleigh – Learning and Individual Differences, 2013
The current research examines whether and how beliefs about intelligence moderate the effects of expecting rapid feedback on exam performance. Thirty-six undergraduates participated in a field experiment with two between-subjects independent variables: anticipated feedback proximity and beliefs about intelligence. The results show that expecting…
Descriptors: Undergraduate Students, Beliefs, Intelligence, Feedback (Response)
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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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Sparks, Richard L.; Patton, Jon; Ganschow, Leonore – Learning and Individual Differences, 2012
This retrospective study examined L1 achievement, intelligence, L2 aptitude, and L2 proficiency profiles of 208 students completing two years of high school L2 courses. A cluster analysis was performed to determine whether distinct cognitive and achievement profiles of more and less successful L2 learners would emerge. The results of…
Descriptors: Multivariate Analysis, Profiles, Language Skills, Second Language Learning
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Yeniad, Nihal; Malda, Maike; Mesman, Judi; van IJzendoorn, Marinus H.; Pieper, Suzanne – Learning and Individual Differences, 2013
Empirical evidence on the association between the shifting component of executive functioning and academic performance is equivocal. In two meta-analyses children's shifting ability is examined in relation to their performance in math (k = 18, N = 2330) and reading (k = 16, N = 2266). Shifting ability was significantly and equally associated with…
Descriptors: Academic Achievement, Intelligence, Reading Skills, Mathematics Skills
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Narli, Serkan; Ozgen, Kemal; Alkan, Huseyin – Learning and Individual Differences, 2011
The present study aims to identify the relationship between individuals' multiple intelligence areas and their learning styles with mathematical clarity using the concept of rough sets which is used in areas such as artificial intelligence, data reduction, discovery of dependencies, prediction of data significance, and generating decision…
Descriptors: Multiple Intelligences, Cognitive Style, Artificial Intelligence, Data Analysis
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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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