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Byrnes, James P.; Miller-Cotto, Dana; Wang, Aubrey H. – Journal of Cognition and Development, 2018
As the United States experiences greater income inequality, more and more students experience an early science achievement gap. This study tested several competing theoretical models of early science achievement with a longitudinal sample of 14,624 children who were followed from kindergarten entry to the end of 1st grade. To understand why and…
Descriptors: Cognitive Development, Grade 1, Elementary School Students, Kindergarten
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Shanley, Lina – Educational Researcher, 2016
Accurately measuring and modeling academic achievement growth is critical to support educational policy and practice. Using a nationally representative longitudinal data set, this study compared various models of mathematics achievement growth on the basis of both practical utility and optimal statistical fit and explored relationships within and…
Descriptors: Mathematics Achievement, Achievement Gains, Longitudinal Studies, Academic Achievement
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Inoue, Tomohiro; Georgiou, George K.; Parrila, Rauno; Kirby, John R. – Scientific Studies of Reading, 2018
We examined the developmental relationships between home literacy environment (parent teaching, shared book reading) and emergent literacy skills (phonological awareness, letter knowledge, vocabulary, rapid naming speed) in kindergarten, reading accuracy and fluency in Grade 1, and reading comprehension in Grades 2 and 3 in a sample of Canadian…
Descriptors: Family Environment, Emergent Literacy, Reading Skills, Reading Fluency
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Castro-Schilo, Laura; Widaman, Keith F.; Grimm, Kevin J. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
In 1959, Campbell and Fiske introduced the use of multitrait-multimethod (MTMM) matrices in psychology, and for the past 4 decades confirmatory factor analysis (CFA) has commonly been used to analyze MTMM data. However, researchers do not always fit CFA models when MTMM data are available; when CFA modeling is used, multiple models are available…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Structural Equation Models, Monte Carlo Methods