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Direct linkTaasoobshirazi, Gita; Farley, John – Learning and Individual Differences, 2013
A model of expertise in physics problem solving was tested on undergraduate science, physics, and engineering majors enrolled in an introductory-level physics course. Structural equation modeling was used to test hypothesized relationships among variables linked to expertise in physics problem solving including motivation, metacognitive planning,…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
Ozel, Murat; Caglak, Serdar; Erdogan, Mehmet – Learning and Individual Differences, 2013
This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
Nunez-Pena, M. Isabel; Suarez-Pellicioni, Macarena; Guilera, Georgina; Mercade-Carranza, Clara – Learning and Individual Differences, 2013
The aim of this study was to adapt and assess the psychometric properties of the Spanish version of the sMARS in terms of evidence of validity and reliability of scores. The sMARS was administered to 342 students and, in order to assess convergent and discriminant validity, several subsamples completed a series of related tests. The factorial…
Descriptors: Factor Analysis, Validity, Rating Scales, Mathematics Tests
Lakin, Joni M. – Learning and Individual Differences, 2012
Ability tests are used by teachers to provide additional context for interpreting student achievement and as a tool for differentiating instruction to the cognitive strengths and weaknesses of students. Tests that provide the most useful information for these purposes measure school-related content domains including verbal and quantitative…
Descriptors: Evidence, Second Language Learning, Educational Opportunities, Cultural Background
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
Wicherts, 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
MacCann, Carolyn; Duckworth, Angela Lee; Roberts, Richard D. – Learning and Individual Differences, 2009
Conscientiousness is often found to predict academic outcomes, but is defined differently by different models of personality. High school students (N = 291) completed a large number of Conscientiousness items from different models and the Big Five Inventory (BFI). Exploratory and confirmatory factor analysis of the items uncovered eight facets:…
Descriptors: Intervention, Validity, Cognitive Tests, Personality
