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Showing 1 to 15 of 49 results Save | Export
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Kessels, Ursula – Learning and Individual Differences, 2013
In response to the current literature on possible systematic differences in the epistemological beliefs of men and women and between members of different cultures, this paper examines the way psychological constructs associated with gender (i.e. gender orientation) and culture (i.e. values) are related to individual's epistemological beliefs.…
Descriptors: Social Behavior, Sexual Identity, College Students, Femininity
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Tucker-Drob, Elliot M. – Learning and Individual Differences, 2013
Children whose parents are more highly educated enjoy greater age-linked gains in cognitive abilities and academic achievement. Different researchers have typically focused on different outcomes, and the extent to which parental education relates to multiple child outcomes via a single developmental pathway has received little empirical attention.…
Descriptors: Academic Achievement, Cognitive Ability, Age Differences, Cognitive Development
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Meneghetti, Chiara; Pazzaglia, Francesca; De Beni, Rossana – Learning and Individual Differences, 2011
The present research investigates the role of individual differences in preference for adopting extrinsic frame of reference (EFR) in ability to represent mentally spatial information learned through survey and route descriptions. A sample of 191 participants (100 females and 91 males) was categorized as four groups with high (H-EFR), medium-high…
Descriptors: Sentences, Females, Spatial Ability, Males
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Wolfe, Christopher R.; Fisher, Christopher R. – Learning and Individual Differences, 2013
Little is known about individual differences in integrating numeric base-rates and qualitative text in making probability judgments. Fuzzy-Trace Theory predicts a preference for fuzzy processing. We conducted six studies to develop the FPPI, a reliable and valid instrument assessing individual differences in this fuzzy processing preference. It…
Descriptors: Individual Differences, Cognitive Processes, Probability, Decision Making
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Chen, Jason A.; Usher, Ellen L. – Learning and Individual Differences, 2013
The purpose of this study was to investigate (a) the latent profiles that arise from middle and high school students' (N = 1225) reported exposure to information from the four hypothesized sources of self-efficacy; (b) the relationships between these latent profiles and science self-efficacy and science achievement; and (c) the differences in…
Descriptors: Science Achievement, Self Efficacy, Profiles, Middle School Students
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Ingles, Candido J.; Marzo, Juan C.; Castejon, Juan L.; Nunez, Jose Carlos; Valle, Antonio; Garcia-Fernandez, Jose M.; Delgado, Beatriz – Learning and Individual Differences, 2011
This study examined the factorial invariance and latent mean differences of scores on the Spanish version of the "Achievement Goal Tendencies Questionnaire" (AGTQ) across gender and age groups in 2022 Spanish students (51.1% boys) in grades 7 through 10. The equality of factor structures was compared using multi-group confirmatory factor…
Descriptors: Factor Structure, Measures (Individuals), Social Reinforcement, Gender Differences
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Silvia, Paul J.; Sanders, Camilla E. – Learning and Individual Differences, 2010
The experience of interest is central to intrinsic motivation for learning, so it is important to understand the nature of interest and its sources. Individual differences in fluid intelligence (Gf) predict finding things more interesting, but it is possible that this effect is merely due to the overlap of Gf with openness to experience, a strong…
Descriptors: Intelligence, Learning Motivation, Individual Differences, Predictor Variables
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Escribano, Cristina; Diaz-Morales, Juan Francisco; Delgado, Pedro; Collado, Ma. Jose – Learning and Individual Differences, 2012
Adolescents shift their time of day preferences from morning to evening during puberty when school schedule becomes earlier. Given that a better performance is obtained when individuals are tested at times that are in synchrony with their chronotype, and optimal sleep duration is positively associated with academic performance, evening-types may…
Descriptors: Evidence, School Schedules, Prevention, Academic Achievement
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Maloney, Erin A.; Waechter, Stephanie; Risko, Evan F.; Fugelsang, Jonathan A. – Learning and Individual Differences, 2012
Decades of research have demonstrated that women experience higher rates of math anxiety--that is, negative affect when performing tasks involving numerical and mathematical skill--than men. Researchers have largely attributed this sex difference in math anxiety to factors such as social stereotypes and propensity to report anxiety. Here we…
Descriptors: Evidence, Undergraduate Students, Stereotypes, Gender Differences
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Best, John R.; Miller, Patricia H.; Naglieri, Jack A. – Learning and Individual Differences, 2011
This study examined age-related changes in complex executive function (EF) in a large, representative sample (N=2036) aged 5 to 17 using the Cognitive Assessment System (CAS; Naglieri & Das, 1997a). Relations between complex EF and academic achievement were examined on a sub-sample (N = 1395) given the Woodcock-Johnson Tests of…
Descriptors: Executive Function, Academic Achievement, Age Differences, Improvement
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Ansari, Daniel; Grabner, Roland H.; Koschutnig, Karl; Reishofer, Gernot; Ebner, Franz – Learning and Individual Differences, 2011
Data from both neuropsychological and neuroimaging studies have implicated the left inferior parietal cortex in calculation. Comparatively less attention has been paid to the neural responses associated with the commission of calculation errors and how the processing of arithmetic errors is modulated by individual differences in mathematical…
Descriptors: Computation, Arithmetic, Individual Differences, Diagnostic Tests
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Tucker-Drob, Elliot M.; Harden, K. Paige – Learning and Individual Differences, 2012
There is accumulating evidence that genetic influences on achievement are more pronounced among children living in higher socioeconomic status homes, and that these gene-by-environment interactions occur prior to children's entry into formal schooling. We hypothesized that one pathway through which socioeconomic status promotes genetic influences…
Descriptors: Twins, Socioeconomic Status, Mathematics Achievement, Learning Motivation
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Gullick, Margaret M.; Sprute, Lisa A.; Temple, Elise – Learning and Individual Differences, 2011
Individual differences in mathematics performance may stem from domain-general factors like working memory and intelligence. Parietal and frontal brain areas have been implicated in number processing, but the influence of such cognitive factors on brain activity during mathematics processing is not known. The relationship between brain mechanisms…
Descriptors: Mathematics Achievement, Intelligence Quotient, Short Term Memory, Brain Hemisphere Functions
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Chen, Jason A. – Learning and Individual Differences, 2012
The purpose of this study was to explore (a) the individual belief profiles that naturally arise among middle and high school science students (n = 1225); (b) the relationships between these profiles to science achievement and other prominent motivation variables; and (c) the demographic and developmental differences among the belief profiles.…
Descriptors: Science Achievement, Profiles, Learning Motivation, Self Efficacy
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Fujisawa, Keiko K.; Wadsworth, Sally J.; Kakihana, Shinichiro; Olson, Richard K.; DeFries, John C.; Byrne, Brian; Ando, Juko – Learning and Individual Differences, 2013
This first Japanese twin study of early literacy development investigated the extent to which genetic and environmental factors influence individual differences in prereading skills in 238 pairs of twins at 42 months of age. Twin pairs were individually tested on measures of phonological awareness, "kana" letter name/sound knowledge,…
Descriptors: Twins, Preschool Children, Emergent Literacy, Early Reading
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