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Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Grantee Submission, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
Peer reviewed Peer reviewed
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Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Journal of Educational Psychology, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
Bucknor Rodney, Camille Aretha – ProQuest LLC, 2022
The COVID-19 pandemic provided an opportunity to explore how different modes of learning may impact student achievement. Little research has been conducted regarding how the pandemic may have affected students' reading skills. The problem addressed in this study was that the effects of varying and inconsistent learning environments for Title I K-2…
Descriptors: Statistical Analysis, Outcomes of Education, Elementary School Students, Pandemics
Peer reviewed Peer reviewed
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis