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Peer reviewed
Direct linkZhao, Xue; Lee, Rebecca E.; Ledoux, Tracey A.; Hoelscher, Deanna M.; McKenzie, Thomas L.; O'Connor, Daniel P. – Journal of School Health, 2022
Background: This study describes a method for harmonizing data collected with different tools to compute a rating of compliance with national recommendations for school physical activity (PA) and nutrition environments. Methods: We reviewed questionnaire items from 84 elementary schools that participated in the Childhood Obesity Research…
Descriptors: Data Collection, Data Analysis, Computation, Compliance (Legal)
Jeffery M. Chernosky; Carissa N. Perez – Educational Forum, 2025
Minimal research has been conducted regarding success factors of high school students in rural districts. Through archival data retrieval, student interviews, and observations, this mixed methods study sought to identify success factors of juniors and seniors enrolled at one rural public school in South Texas. The impact of support systems, the…
Descriptors: Academic Achievement, High School Students, Rural Areas, Family Influence
Mansolf, Maxwell; Vreeker, Annabel; Reise, Steven P.; Freimer, Nelson B.; Glahn, David C.; Gur, Raquel E.; Moore, Tyler M.; Pato, Carlos N.; Pato, Michele T.; Palotie, Aarno; Holm, Minna; Suvisaari, Jaana; Partonen, Timo; Kieseppä, Tuula; Paunio, Tiina; Boks, Marco; Kahn, René; Ophoff, Roel A.; Bearden, Carrie E.; Loohuis, Loes Olde; Teshiba, Terri; deGeorge, Daniella; Bilder, Robert M. – Educational and Psychological Measurement, 2020
Large-scale studies spanning diverse project sites, populations, languages, and measurements are increasingly important to relate psychological to biological variables. National and international consortia already are collecting and executing mega-analyses on aggregated data from individuals, with different measures on each person. In this…
Descriptors: Item Response Theory, Data Analysis, Measurement, Validity
Klingbeil, David A.; Osman, David J.; Van Norman, Ethan R.; Berry-Corie, Kimberly; Kim, Jessica S.; Schmitt, Madeline C.; Latham, Alexander D. – Reading & Writing Quarterly, 2023
Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…
Descriptors: Screening Tests, Reading Tests, Middle School Students, Identification
The Effect of Classroom Factors on Academic Achievement of Fifth Grade English Learner (EL) Students
Jordan Curtin – ProQuest LLC, 2021
Students' instructional needs are identified, and proper interventions and instructional placement are put in place to maximize student-learning potential, but there is a gap in literature regarding the impact of classroom factors on student achievement of English learner (EL) students in diverse elementary schools (Heritage, Walqui, &…
Descriptors: Academic Achievement, Grade 5, Elementary School Students, Social Influences
Schudde, Lauren; Yonah Meiselman, Akiva – Community College Journal of Research and Practice, 2020
Student placement test records, course enrollments, and other student-level data collected by community colleges are vital for evaluating the outcomes of students in developmental education (dev-ed) courses. Researchers and policymakers rely on this information to examine the impact of existing programs and assess ongoing reforms to dev-ed -- the…
Descriptors: Community Colleges, Two Year College Students, Developmental Studies Programs, Student Placement
Lin, Shuqiong; Luo, Wen; Tong, Fuhui; Irby, Beverly J.; Alecio, Rafael Lara; Rodriguez, Linda; Chapa, Selena – Cogent Education, 2020
Student learning objectives (SLOs) have become an increasingly popular tool for teacher evaluations as an alternative to Value-added Models (VAMs). However, the use of SLOs faces two major challenges. First, the target setting is mostly subjective and arbitrary. Second, there is little evidence on the reliability and validity of the tool. In this…
Descriptors: Student Educational Objectives, Teacher Evaluation, Data Use, Academic Achievement
Download full textDauter, Luke; Olivieri, Samantha – Education Cities, 2018
The Education Equality Index (EEI), created through a unique collaboration of GreatSchools and Education Cities, is a nationally comparative measure that looks at how well students from low-income families are achieving in schools, cities, and states across the country and The EEI taps GreatSchools' national school information database and…
Descriptors: Educational Quality, Measures (Individuals), Low Income Students, Academic Achievement
Thinking Heuristically about Student Growth in Austin Independent School District. Publication 17.33
Hutchins, Shaun D.; DeBaylo, Paige Hartman; Williams, Holly – Online Submission, 2018
This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.
Descriptors: School Districts, Achievement Gains, Achievement Tests, High Schools
Peters, Scott J.; Rambo-Hernandez, Karen; Makel, Matthew C.; Matthews, Michael S.; Plucker, Jonathan A. – Gifted Child Quarterly, 2017
Few topics have garnered more attention in preservice teacher training and educational reform than student diversity and its influence on learning. However, the actual degree of cognitive diversity has yet to be considered regarding instructional implications for advanced learners. We used four data sets (three state-level and one national) from…
Descriptors: Elementary School Students, Middle School Students, Academic Achievement, Language Arts
Thompson, Jeremy – ProQuest LLC, 2017
Policymakers and professional educators attempt to be good stewards of public funds while simultaneously raising expectations for student outcomes that reflect academic excellence in the public school system. The purpose of this study was to determine the efficiency of Texas public school districts and the factors influencing the inefficiency of…
Descriptors: Educational Quality, Educational Assessment, Efficiency, Public Schools
Martorell, Paco; McFarlin, Isaac, Jr.; Xue, Yu – Education Finance and Policy, 2015
About one third of college students are required to take remedial courses. Assignment to remediation is generally made on the basis of performance on a placement exam. When students are required to take a placement exam "prior" to enrolling in college-level courses, assignment to remediation may dissuade students from actually going to…
Descriptors: Academic Failure, Student Placement, College Entrance Examinations, Remedial Programs
Bos, Johannes M.; Dhillon, Sonica; Borman, Trisha – American Institutes for Research, 2019
This is the final report of a large-scale independent evaluation of the Building Assets and Reducing Risks (BARR) model in ninth grade in eleven high schools in Maine, California, Minnesota, Kentucky, and Texas. This sample of schools included large and small schools in urban, suburban, and rural areas, serving students from a wide range of…
Descriptors: Grade 9, High Schools, High School Freshmen, Program Effectiveness
Northwest Evaluation Association, 2016
Northwest Evaluation Association™ (NWEA™) is committed to providing partners with useful tools to help make inferences from the Measures of Academic Progress® (MAP®) interim assessment scores. One important tool is the concordance table between MAP and state summative assessments. Concordance tables have been used for decades to relate scores on…
Descriptors: Scores, Inferences, Academic Achievement, Achievement Tests
Jennings, Jennifer L.; Deming, David; Jencks, Christopher; Lopuch, Maya; Schueler, Beth E. – Sociology of Education, 2015
Do schools reduce or perpetuate inequality by race and family income? Most studies conclude that schools play only a small role in explaining socioeconomic and racial disparities in educational outcomes, but they usually draw this conclusion based solely on test scores. We reconsider this finding using longitudinal data on test scores and…
Descriptors: School Statistics, Educational Quality, Evidence, Educational Opportunities
