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Direct linkWicherts, 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
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
Hart, Sara A.; Petrill, Stephen A.; Thompson, Lee A. – Learning and Individual Differences, 2010
The present study examined the phenotypic and genetic relationship between fluency and non-fluency-based measures of reading and mathematics performance. Participants were drawn from the Western Reserve Reading and Math Project, an ongoing longitudinal twin project of same-sex MZ and DZ twins from Ohio. The present analyses are based on…
Descriptors: Twins, Genetics, Reading Ability, Mathematics Achievement
Mayes, Susan Dickerson; Calhoun, Susan L.; Bixler, Edward O.; Zimmerman, Dennis N. – Learning and Individual Differences, 2009
Word reading and math computation scores were predicted from Wechsler Abbreviated Scale of Intelligence Full Scale IQ, 10 neuropsychological tests, and parent attention deficit hyperactivity disorder (ADHD) ratings in 214 general population elementary school children. IQ was the best single predictor of achievement. In addition, Digit Span…
Descriptors: Elementary School Students, Hyperactivity, Verbal Learning, Attention Deficit Disorders
Zhu, Chang; Valcke, Martin; Schellens, Tammy – Learning and Individual Differences, 2008
This paper reports findings with regard to learning conceptions and approaches to learning of Flemish and Chinese students. The Conceptions of Learning Inventory (COLI) and the Approaches and Study Skills Inventory for Students (ASSIST) were administered to first-year university students from China (N = 362) and Flanders (N = 360). The 3-factor…
Descriptors: Student Attitudes, Foreign Countries, Study Skills, Interpersonal Competence
Lau, Shun; Roeser, Robert W. – Learning and Individual Differences, 2008
This study adopted a person-centered approach to examine organized patterns of psychological factors and their relations to achievement and engagement in a sample of high school students. Four types of students characterized by unique configurations of cognitive, motivational, and affective characteristics were identified in both the male and…
Descriptors: Science Achievement, Factor Analysis, Cognitive Ability, High School Students
Green, Jasmine; Martin, Andrew J.; Marsh, Herbert W. – Learning and Individual Differences, 2007
The purpose of this study is to evaluate the domain specificity of multidimensional motivation and engagement (adaptive cognitions, adaptive behaviors, impeding/maladaptive cognitions, maladaptive behaviors) in mathematics, English and science high school subjects, with an additional focus on three key educational correlates (educational…
Descriptors: High Schools, Academic Aspiration, Factor Analysis, Construct Validity
