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Myers, Jonté A.; Redding, Christopher; Brownell, Mary T.; Gage, Nicolas A.; Leite, Walter – Teacher Education and Special Education, 2022
This latent class analysis study used a bias-adjusted three-step approach to empirically identify mutually exclusive clusters of teacher professional qualifications based on commonly studied indicators of teacher quality. We then examined the relationship between cluster membership and the mathematics gains of adolescents at risk for mathematics…
Descriptors: Teacher Qualifications, Mathematics Achievement, Achievement Gains, Adolescents
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Koon, Sharon; Foorman, Barbara; Galloway, Tara – Regional Educational Laboratory Southeast, 2020
North Carolina policymakers are interested in which screening and monitoring assessment scores in grades K-3 best predict reading proficiency at the end of grade 3 in order to help educators identify at-risk students, place them in interventions, and monitor their progress. Since 2013, the state has routinely administered screening and monitoring…
Descriptors: Elementary School Students, Identification, Reading Achievement, Reading Skills
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Regional Educational Laboratory Southeast, 2020
More than half of North Carolina's grade 3 students struggle with reading. The percentage of students scoring below proficient in reading at the end of grade 3 was 55 percent in 2017/18. That percentage has remained largely unchanged, at above 50 percent, since 2013/14, when North Carolina passed its K-3 Read to Achieve literacy act. Read to…
Descriptors: Elementary School Students, Identification, Reading Achievement, Reading Skills
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Regional Educational Laboratory Southeast, 2020
More than half of North Carolina's grade 3 students struggle with reading. The percentage of students scoring below proficient in reading at the end of grade 3 was 55 percent in 2017/18. That percentage has remained largely unchanged, at above 50 percent, since 2013/14, when North Carolina passed its K-3 Read to Achieve literacy act. Read to…
Descriptors: Elementary School Students, Identification, Reading Achievement, Reading Skills
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Vernon-Feagans, Lynne; Garrett-Peters, Patricia; Willoughby, Michael – Developmental Psychology, 2016
Behavioral regulation is an important school readiness skill that has been linked to early executive function (EF) and later success in learning and school achievement. Although poverty and related risks, as well as negative parenting, have been associated with poorer EF and behavioral regulation, chaotic home environments may also play a role in…
Descriptors: Student Behavior, Child Behavior, Kindergarten, Predictor Variables
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Spangler, John; Song, Eunyoung; Pockey, Jessica; Sutfin, Erin L.; Reboussin, Beth A.; Wagoner, Kimberly; Wolfson, Mark – Health Education Journal, 2014
Objective: Smokeless tobacco (SLT) use is associated with specific adverse health effects. Knowledge of student tobacco use, including SLT, may guide inquiry into other risky health behaviors, and provide opportunities for health education of students. Design: An incentivized email invitation to complete a web-based survey was sent to students at…
Descriptors: Correlation, Health Behavior, Online Surveys, Student Characteristics
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Regional Educational Laboratory Southeast, 2011
Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…
Descriptors: Elementary Secondary Education, Dropout Prevention, Evidence, At Risk Students
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Cratty, Dorothyjean – Economics of Education Review, 2012
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to…
Descriptors: At Risk Students, Dropouts, High School Students, Probability
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Osler, James Edward; Waden, Carl – Journal on School Educational Technology, 2013
This paper discusses the implementation of the Tri-Squared Test as one of many advanced statistical measures used to verify and validate the outcomes of an initial study on academic professional's perspectives on the use, success, and viability of 9th Grade Freshman Academies, Centers, and Center Models. The initial research investigation…
Descriptors: At Risk Students, Statistical Analysis, School Holding Power, Academic Achievement
Peisner-Feinberg, Ellen; Schaaf, Jennifer; Hildebrandt, Lisa; LaForett, Dore – FPG Child Development Institute, 2013
The North Carolina Pre-Kindergarten Program (NC Pre-K) is a state-funded initiative for at-risk 4-year-olds, designed to provide a high quality, classroom-based educational program during the year prior to kindergarten entry. Children are eligible for NC Pre-K based on age, family income (at or below 75% of state median income), and other risk…
Descriptors: Preschool Education, Preschool Children, At Risk Students, State Programs