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Direct linkMarks, Gary N. – Educational Research and Evaluation, 2016
Multi-domain and longitudinal studies of student achievement routinely find moderate to strong correlations across achievement domains and even stronger within-domain correlations over time. The purpose of this study is to examine the sources of these patterns analysing student achievement in 5 domains across Years 3, 5 and 7. The analysis is of…
Descriptors: Academic Achievement, Correlation, Student Characteristics, Longitudinal Studies
Lenkeit, Jenny; Caro, Daniel H.; Strand, Steve – Educational Research and Evaluation, 2015
In England, students with immigrant background exhibit lower educational attainment than those without immigrant background. Family socioeconomic status (SES) helps explain differences in educational attainment, but a gap remains that differs in size for students with different immigrant backgrounds. While the explanatory repertoire for the…
Descriptors: Educational Attainment, Academic Achievement, Socioeconomic Status, Longitudinal Studies
Lee, Ahlam – Educational Research and Evaluation, 2015
Among the disciplines of science, technology, engineering, and math (STEM), much attention has been paid to the influences of math- and science-related learning contexts on students' STEM major selection. However, the technology and engineering learning contexts that are linked to STEM major selection have been overlooked. In response, a…
Descriptors: STEM Education, Majors (Students), College Students, Hierarchical Linear Modeling
Thorsen, Cecilia; Cliffordson, Christina – Educational Research and Evaluation, 2012
Research has found that grades are the most valid instruments for predicting educational success. Why grades have better predictive validity than, for example, standardized tests is not yet fully understood. One possible explanation is that grades reflect not only subject-specific knowledge and skills but also individual differences in other…
Descriptors: Grades (Scholastic), Predictive Validity, Grading, Criteria
Davison, Mark L. – Educational Research and Evaluation, 2008
While confirmatory latent growth curve analyses provide procedures for testing hypotheses about latent growth curves underlying data, one must first derive hypotheses to be tested. It is argued that such hypotheses should be generated from a combination of theory and exploratory data analyses. An exploratory components analysis is described and…
Descriptors: Structural Equation Models, Hypothesis Testing, Research Methodology, Longitudinal Studies
Camp, Amanda G.; Gilleland, Diane; Pearson, Carolyn; Vander Putten, Jim – Educational Research and Evaluation, 2009
The intent of this study was to investigate the adequacy of Weidman's (1985, 1989) theoretical undergraduate socialization model as an empirical-based causal model pertaining to women's career path choice into a science or engineering (SE) major via structural equation modeling. Data were obtained from the Beginning Postsecondary Students…
Descriptors: Majors (Students), Females, Structural Equation Models, Engineering
