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Showing 46 to 60 of 328 results Save | Export
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Luo, Dasen; Chen, Guopeng; Zen, Fanlin; Murray, Bronwyn – Intelligence, 2010
Item responses to Digit Span and Letter-Number Sequencing were analyzed to develop a better-refined model of the two working memory tasks using the finite mixture (FM) modeling method. Models with ordinal latent traits were found to better account for the independent sources of the variability in the tasks than those with continuous traits, and…
Descriptors: Attention Control, Short Term Memory, Correlation, Item Response Theory
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Molenaar, Dylan; Dolan, Conor V.; Wicherts, Jelle M. – Intelligence, 2009
Research into sex differences in general intelligence, g, has resulted in two opposite views. In the first view, a g-difference is nonexistent, while in the second view, g is associated with a male advantage. Past research using Multi-Group Covariance and Mean Structure Analysis (MG-CMSA) found no sex difference in g. This failure raised the…
Descriptors: Factor Structure, Intelligence Quotient, Statistical Analysis, Gender Differences
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Wartenburger, Isabell; Kuhn, Esther; Sassenberg, Uta; Foth, Manja; Franz, Elizabeth A.; van der Meer, Elke – Intelligence, 2010
Individuals scoring high in fluid intelligence tasks generally perform very efficiently in problem solving tasks and analogical reasoning tasks presumably because they are able to select the task-relevant information very quickly and focus on a limited set of task-relevant cognitive operations. Moreover, individuals with high fluid intelligence…
Descriptors: Intelligence, Brain Hemisphere Functions, Imagery, Scores
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van Leeuwen, Marieke; Peper, Jiska S.; van den Berg, Stephanie M.; Brouwer, Rachel M.; Hulshoff Pol, Hilleke E.; Kahn, Rene S.; Boomsma, Dorret I. – Intelligence, 2009
In a population-based sample of 112 nine-year old twin pairs, we investigated the association among total brain volume, gray matter and white matter volume, intelligence as assessed by the Raven IQ test, verbal comprehension, perceptual organization and perceptual speed as assessed by the Wechsler Intelligence Scale for Children-III. Phenotypic…
Descriptors: Twins, Intelligence Tests, Intelligence Quotient, Brain
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Karama, S.; Ad-Dab'bagh, Y.; Haier, R. J.; Deary, I. J.; Lyttelton, O. C.; Lepage, C.; Evans, A. C. – Intelligence, 2009
Neuroimaging studies, using various modalities, have evidenced a link between the general intelligence factor (g) and regional brain function and structure in several multimodal association areas. While in the last few years, developments in computational neuroanatomy have made possible the "in vivo" quantification of cortical thickness, the…
Descriptors: Intelligence, Brain, Psychometrics, Diagnostic Tests
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Shelton, Jill T.; Elliott, Emily M.; Hill, B. D.; Calamia, Matthew R.; Gouvier, Drew – Intelligence, 2009
The working memory (WM) construct is conceptualized similarly across domains of psychology, yet the methods used to measure WM function vary widely. The present study examined the relationship between WM measures used in the laboratory and those used in applied settings. A large sample of undergraduates completed three laboratory-based WM measures…
Descriptors: Short Term Memory, Intelligence, Intelligence Tests, Undergraduate Students
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Lynn, Richard – Intelligence, 2010
Beraldo (2010) and Cornoldi, Belacchi, Giofre, Martini, and Tressoldi (2010) (CBGMT) have eight criticisms of my paper (Lynn, 2010) claiming that the large north-south differences in per capita income in Italy are attributable to differences in the average levels of intelligence in the populations. CBGMT give results for seven data sets for IQs in…
Descriptors: Intelligence, Income, Criticism, Foreign Countries
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Corley, Janie; Crang, Jeremy A.; Deary, Ian J. – Intelligence, 2009
The Scottish Mental Survey of 1932 (SMS1932) provides a record of intelligence test scores for almost a complete year-of-birth group of children born in 1921. By linking UK Army personnel records, the Scottish National War Memorial data, and the SMS1932 dataset it was possible to examine the effect of childhood intelligence scores on wartime…
Descriptors: Intelligence Quotient, Intelligence Tests, Scores, Children
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Shikishima, Chizuru; Hiraishi, Kai; Yamagata, Shinji; Sugimoto, Yutaro; Takemura, Ryo; Ozaki, Koken; Okada, Mitsuhiro; Toda, Tatsushi; Ando, Juko – Intelligence, 2009
Using a behavioral genetic approach, we examined the validity of the hypothesis concerning the singularity of human general intelligence, the "g" theory, by analyzing data from two tests: the first consisted of 100 syllogism problems and the second a full-scale intelligence test. The participants were 448 Japanese young adult twins (167…
Descriptors: Intelligence, Twins, Asians, Young Adults
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Meo, Maria; Roberts, Maxwell J.; Marucci, Francesco S. – Intelligence, 2007
Raven's Progressive Matrices is a frequently used intelligence test, and it has been suggested that the major determinant of difficulty for each item is its numbers of elements and rules, and its rule complexity. The current study investigated another potential source of difficulty--element salience--items are harder where their elements are…
Descriptors: Intelligence Tests, Memory, Difficulty Level
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Steinmayr, Ricarda; Beauducel, Andre; Spinath, Birgit – Intelligence, 2010
Recently, different methodological approaches have been discussed as an explanation for inconsistencies in studies investigating sex differences in different intelligences. The present study investigates sex differences in manifest sum scores, factor score estimates, and latent verbal, numerical, figural intelligence, as well as fluid and…
Descriptors: Intelligence, Intelligence Tests, Factor Analysis, Effect Size
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Cliffordson, Christina; Gustafsson, Jan-Eric – Intelligence, 2008
The effects of age and schooling on different aspects of intellectual performance, taking track of study into account, are investigated. The analyses were based on military enlistment test scores, obtained by 48,269 males, measuring Fluid ability (Gf), Crystallized intelligence (Gc), and General visualization (Gv) ability. A regression method,…
Descriptors: Age Differences, Cognitive Ability, Educational Attainment, Scores
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Arendasy, Martin E.; Hergovich, Andreas; Sommer, Markus – Intelligence, 2008
Even though researchers agree on the hierarchical structure of intelligence there is considerable disagreement on the g-saturation of the lower stratum-two factors. In this article it is argued that the mixed evidence in the research literature can be at least partially attributed to the construct representation of the individual tests used to…
Descriptors: Intelligence, Intelligence Tests, Test Items, Computer Assisted Testing
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Waiter, Gordon D.; Deary, Ian J.; Staff, Roger T.; Murray, Alison D.; Fox, Helen C.; Starr, John M.; Whalley, Lawrence J. – Intelligence, 2009
To explore the possible neural foundations of individual differences in intelligence test scores, we examined the associations between Raven's Matrices scores and two tasks that were administered in a functional magnetic resonance imaging (fMRI) setting. The two tasks were an n-back working memory (N = 37) task and inspection time (N = 47). The…
Descriptors: Intelligence, Intelligence Tests, Diagnostic Tests, Short Term Memory
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Follesdal, Hallvard; Hagtvet, Knut A. – Intelligence, 2009
The Mayer, Salovey, & Caruso Emotional Intelligence Test (MSCEIT) has been reported to provide reliable scores for the four-branch ability model of emotional intelligence [Mayer, J. D., Salovey, P., & Caruso, D. R. (2002). "Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). User's manual." Toronto, Canada: Multi-Health…
Descriptors: Emotional Intelligence, Intelligence Tests, Adults, Error of Measurement
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