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Understanding the mathematics and science achievement and growth trajectories of high ability high school students using hierarchical linear modeling

Posted on:2010-07-28Degree:Ph.DType:Dissertation
University:Loyola University ChicagoCandidate:Belen-Ferrer, BellasantaFull Text:PDF
GTID:1447390002479514Subject:Education
Abstract/Summary:
This study used longitudinal data and individual, family, and academic-related matriculation variables to examine trends in initial status and growth trajectories in overall academics, mathematics, and science achievement among 224 high ability high school Asian students. Results indicate that females have an advantage in both initial status and growth rates in overall academics and science. None of the family variables entered in the models were found to be significantly related to overall academics grade point average. All available matriculation variables entered into the models explained less than or at most about half the variance in initial achievement status and growth rate in overall academics and science but not in mathematics. These results strongly imply that other factors, notably family and school and/or classroom-related variables, not measured by the ones used in the models could explain the expected variance in initial status and growth rate of the students especially in Mathematics.
Keywords/Search Tags:Growth, Mathematics, Students, Science, School, Overall academics, Achievement, Variables
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