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Wanzek, Jeanne; Petscher, Yaacov; Otaiba, Stephanie Al; Rivas, Brenna K.; Jones, Francesca G.; Kent, Shawn C.; Schatschneider, Christopher; Mehta, Paras – Journal of Educational Psychology, 2017
Research examining effective reading interventions for students with reading difficulties in the upper elementary grades is limited relative to the information available for the early elementary grades. In the current study, we examined the effects of a multicomponent reading intervention for students with reading comprehension difficulties. We…
Descriptors: Elementary School Students, Grade 4, Supplementary Education, Remedial Reading
Wanzek, Jeanne; Petscher, Yaacov; Al Otaiba, Stephanie; Rivas, Brenna; Jones, Francesca; Kent, Shawn; Schatschneider, Christopher; Mehta, Paras – Grantee Submission, 2017
Research examining effective reading interventions for students with reading difficulties in the upper elementary grades is limited relative to the information available for the early elementary grades. In the current study, we examined the effects of a multicomponent reading intervention for students with reading comprehension difficulties. We…
Descriptors: Reading Tests, Achievement Tests, Elementary School Students, Reading Fluency
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Petscher, Yaacov; Quinn, Jamie M.; Wagner, Richard K. – Developmental Psychology, 2016
Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…
Descriptors: Individual Development, Correlation, Longitudinal Studies, Oral Reading
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
Solari, Emily J.; Petscher, Yaacov; Folsom, Jessica Sidler – Journal of Learning Disabilities, 2014
The authors used a large data set (N = 1,011,549) to examine literacy growth over a single school year comparing general education (GenEd) students to three high-risk subgroups: English language learners (ELL), those with a specific learning disability (LD), and those identified as both LD and ELL (LD-ELL) in students in Grades 3-10. The authors…
Descriptors: Elementary School Students, Secondary School Students, Learning Disabilities, English Language Learners