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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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Ahmed, Wondimu; Minnaert, Alexander; Kuyper, Hans; van der Werf, Greetje – Learning and Individual Differences, 2012
The present study examined the reciprocal relationships between self-concept and anxiety in mathematics. A sample of 495 grade 7 students (51% girls) completed self-report measures assessing self-concept and anxiety three times in a school year. Structural equation modeling was used to test a cross-lagged panel model of reciprocal effects between…
Descriptors: Grade 7, Mathematics Anxiety, Self Concept, Correlation
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Shin, Tacksoo; Davison, Mark L.; Long, Jeffrey D.; Chan, Chi-Keung; Heistad, David – Learning and Individual Differences, 2013
Using four-wave longitudinal reading and mathematics data (4th to 7th grades) from a large urban school district, growth curve modeling was used as a tool for examining three research questions: Are achievement gaps closing in reading and mathematics? What are the associations between prior-achievement and growth across the reading and mathematics…
Descriptors: Reading Achievement, Mathematics Achievement, Achievement Gains, Achievement Gap
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Ziegler, Albert; Stoeger, Heidrun – Learning and Individual Differences, 2010
There is ample evidence that labeled gifted students exhibit maladaptive behavior patterns. According to Carol Dweck those students who subscribe to a fixed view of their abilities are particularly at risk. In this contribution we extended Dweck's framework and distinguished two aspects of the implicit theory of one's own abilities. We…
Descriptors: Behavior Patterns, Student Attitudes, Academically Gifted, At Risk Students