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Moulton, Vanessa; Flouri, Eirini; Joshi, Heather; Sullivan, Alice – Research Papers in Education, 2018
Often young children already have some ideas about what they want to do in the future. Using data from a large UK cohort study, we investigated the individual determinants of seven-year-old children's aspirations, controlling for parental socio-economic background and parental involvement in learning. At age 7, not all children's aspirations were…
Descriptors: Foreign Countries, Predictor Variables, Young Children, Occupational Aspiration
Jensen, Jennifer – ProQuest LLC, 2014
This study sought to determine if there is a relationship between students' scores on the eighth-grade Indiana State Test of Education Progress Plus (ISTEP+) exam and success on Indiana's Algebra End-of-Course Assessment (ECA). Additionally, it sought to determine if algebra success could be significantly predicted by the achievement in one or…
Descriptors: Standardized Tests, Prior Learning, Mathematics Achievement, Algebra
Bigozzi, Lucia; Tarchi, Christian; Pezzica, Sara; Pinto, Giuliana – Journal of Learning Disabilities, 2016
The strong differences in manifestation, prevalence, and incidence in dyslexia across languages invite studies in specific writing systems. In particular, the question of the role played by emergent literacy in opaque and transparent writing systems remains a fraught one. This research project tested, through a 4-year prospective cohort study, an…
Descriptors: Emergent Literacy, Models, Predictor Variables, Dyslexia
Strand, Steve – Research Papers in Education, 2014
Perhaps the most prevailing inequalities in educational achievement in England are those associated with socio-economic status (SES), ethnicity and gender. However, little research has sought to compare the relative size of these gaps or to explore interactions between these factors. This paper analyses the educational achievement at age 11, 14…
Descriptors: Ethnicity, Gender Differences, Social Class, Achievement Gap

Williams, John Delane – Mid-Western Educational Researcher, 1996
Addresses the use of missing cells in longitudinal research. Gives a sample educational situation involving cohorts and grade levels and uses multiple linear regression for the solution. Discusses applications of longitudinal research wherein logically missing cells occur. (Author/SV)
Descriptors: Cohort Analysis, Educational Research, Longitudinal Studies, Models
Tatham, Elaine L. – 1977
The author describes her career development from mathematics instructor to director of institutional research at a large community college. She discusses the impact of mathematics on her career, illustrates her present job by describing three recently completed research projects, and strongly recommends that mathematics instructors encourage some…
Descriptors: Cohort Analysis, Community Colleges, Demography, Enrollment Projections