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Marquez, Jocabed G. – ProQuest LLC, 2018
The United States faces high demand for science, technology, engineering, or mathematics (STEM) professionals and a scarce supply of individuals who pursue STEM careers, especially minority populations in the U.S with proficiency in a language other than English. The primary goal of this research was to determine the impact of use of Spanish in…
Descriptors: Longitudinal Studies, Executive Function, Mathematics Achievement, Science Achievement
Hawley, Leslie R.; Bovaird, James A.; Wu, ChaoRong – Applied Measurement in Education, 2017
Value-added assessment methods have been criticized by researchers and policy makers for a number of reasons. One issue includes the sensitivity of model results across different outcome measures. This study examined the utility of incorporating multivariate latent variable approaches within a traditional value-added framework. We evaluated the…
Descriptors: Value Added Models, Reliability, Multivariate Analysis, Scaling
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
Beach, Kristen D.; O'Connor, Rollanda E. – Journal of Learning Disabilities, 2015
We explored the usefulness of first and second grade reading measures and responsiveness criteria collected within a response-to-intervention (RtI) framework for predicting reading disability (RD) in third grade. We used existing data from 387 linguistically diverse students who had participated in a longitudinal RtI study. Model-based predictors…
Descriptors: Response to Intervention, Reading Difficulties, Predictor Variables, Criteria
Thoemmes, Felix J.; West, Stephen G. – Multivariate Behavioral Research, 2011
In this article we propose several modeling choices to extend propensity score analysis to clustered data. We describe different possible model specifications for estimation of the propensity score: single-level model, fixed effects model, and two random effects models. We also consider both conditioning within clusters and conditioning across…
Descriptors: Probability, Scores, Statistical Analysis, Models
Pullen, Paige C.; Tuckwiller, Elizabeth D.; Konold, Timothy R.; Maynard, Katrina L.; Coyne, Michael D. – Learning Disabilities Research & Practice, 2010
Vocabulary knowledge at school entry is a robust predictor of later reading achievement. Many children begin formal reading instruction at a significant disadvantage due to low levels of vocabulary. Until recently, relatively few research studies examined the efficacy of vocabulary interventions for children in the early primary grades (e.g.,…
Descriptors: Reading Difficulties, Instructional Design, Intervention, Reading Failure