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Sophie E. Stallasch; Oliver Lüdtke; Cordula Artelt; Larry V. Hedges; Martin Brunner – Educational Psychology Review, 2024
Well-chosen covariates boost the design sensitivity of individually and cluster-randomized trials. We provide guidance on covariate selection generating an extensive compilation of single- and multilevel design parameters on student achievement. Embedded in psychometric heuristics, we analyzed (a) covariate "types" of varying…
Descriptors: Academic Achievement, Intervention, Foreign Countries, Research Methodology
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Alex Romagnoli – Educational Considerations, 2024
The traditional points system and subsequent Grade Point Average (GPA) in education perpetuates an evaluation of academic performance which reflects arbitrary weighting of assignments and/or assessments. As such, GPAs which are calculated using a traditional points system are not unidimensional in their design. The baseball batting and slugging…
Descriptors: Elementary Secondary Education, Weighted Scores, Team Sports, Grades (Scholastic)
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Kong, Wei; Ni, Shawn – Educational Researcher, 2023
The growing fiscal cost of K-12 teacher pension plans and pension-induced labor market distortions have led to calls for teacher pension reforms. Dynamic structural econometric models are a useful way to analyze the fiscal and staffing consequences of current and alternative retirement plans. This article lays out the benefits of the structural…
Descriptors: Economics, Statistical Analysis, Teacher Retirement, Retirement Benefits
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Saito, Daisuke; Yajima, Risei; Washizaki, Hironori; Fukazawa, Yoshiaki – Education Sciences, 2021
In evaluating the learning achievement of programming-thinking skills, the method of using a rubric that describes evaluation items and evaluation stages is widely employed. However, few studies have evaluated the reliability, validity, and consistency of the rubrics themselves. In this study, we introduced a statistical method for evaluating the…
Descriptors: Scoring Rubrics, Computer Science Education, Programming, Reliability
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Feller, Avi; Stuart, Elizabeth A. – Journal of Research on Educational Effectiveness, 2021
Panel data methods, which include difference-in-differences and comparative interrupted time series, have become increasingly common in education policy research. The key idea is to use variation across time and space (e.g., school districts) to estimate the effects of policy or programmatic changes that happen in some localities but not others.…
Descriptors: COVID-19, Pandemics, Educational Policy, Statistical Analysis
Feller, Avi; Stuart, Elizabeth A. – Grantee Submission, 2021
Panel data methods, which include difference-in-differences and comparative interrupted time series, have become increasingly com- mon in education policy research. The key idea is to use variation across time and space (e.g., school districts) to estimate the effects of policy or programmatic changes that happen in some localities but not others.…
Descriptors: COVID-19, Pandemics, Educational Policy, Statistical Analysis
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Chen, Feng; Harris, Douglas N. – National Center for Research on Education Access and Choice, 2021
We study the combined effects of charter schools, and their various mechanisms, on a national level and across multiple outcomes. Using difference-in-differences and fixed effects methods, we find that charter entry (above 10 percent market share) increases high school graduation rate in geographic districts by about 2-4 percentage points and…
Descriptors: Charter Schools, Outcomes of Education, Statistical Analysis, School Districts
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Wendy Castillo; Nathan Babb – Race, Ethnicity and Education, 2024
Quantitative Critical Race Theory (QuantCrit) is a burgeoning field of study seeking to challenge and improve the use of statistical data in social research. It pulls lessons and insights from Critical Race Theory and applies them to understanding social challenges. In this paper, we aim to improve the quality of quantitative research produced by…
Descriptors: Journal Articles, Critical Race Theory, Elementary Secondary Education, Postsecondary Education
Bray, Karen – ProQuest LLC, 2023
The purpose of this quantitative study was to test the relationship between instructional related expenditures and student performance on a state mandated exam while controlling for various district-level and student-level variables for school districts in the state of Texas. The study had two research questions regarding student performance in…
Descriptors: Academic Achievement, Standardized Tests, Achievement Tests, Statistical Analysis
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Sims, Sam; Anders, Jake; Zieger, Laura – Journal of Research on Educational Effectiveness, 2022
Comparative interrupted time series (CITS) designs evaluate impact by modeling the relative deviation from trends among a treatment and comparison group after an intervention. The broad applicability of the design means it is widely used in education research. Like all non-experimental evaluation methods however, the internal validity of a given…
Descriptors: Validity, Comparative Analysis, Statistical Analysis, Intervention
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Cherkasov, Aleksandr A.; Bratanovskii, Sergei N.; Ponomareva, Marina A.; Zimovets, Ludmila G. – European Journal of Contemporary Education, 2020
This paper examines the process of the making and development of parochial schools in Russia in the pre-revolutionary period. An insight is provided into the scale of work carried out in that area, the evolution of parochial schools in Russia, and the regulatory framework for them. The main sources for this paper are reports from the Chief…
Descriptors: Parochial Schools, Foreign Countries, Educational History, Educational Development
Ulrich, Monika – ProQuest LLC, 2023
The National Council of Teachers of Mathematics (NCTM), has made an effort to increase the use of technology and the use of calculators into the classroom and curriculum. As a result, many studies and articles have been written on the subject of calculator use in the classroom. A review of over 600 studies revealed that it is not curricula that…
Descriptors: Calculators, Educational Technology, Technology Uses in Education, Mathematics Education
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Arnold, Pip; Pfannkuch, Maxine – set: Research Information for Teachers, 2020
Statistical investigations, a thread within the statistics strand of the mathematics and statistics learning area (Ministry of Education, 2007), are underpinned by the statistical enquiry cycle. As teachers introduce their students to the statistical enquiry cycle, they are supporting their students to become data detectives, posing and answering…
Descriptors: Novices, Statistics, Active Learning, Inquiry
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Lindsay M. Fallon; Emily R. DeFouw; Sadie C. Cathcart; Talia S. Berkman; Patrick Robinson-Link; Breda V. O'Keeffe; George Sugai – Journal of Behavioral Education, 2022
School discipline disproportionality has long been documented in educational research, primarily impacting Black/African American and non-White Hispanic/Latinx students. In response, federal policymakers have encouraged educators to change their disciplinary practice, emphasizing that more proactive support is critical to promoting students'…
Descriptors: Discipline, Student Behavior, Behavior Modification, Social Development
Gao, Niu; Lafortune, Julien – Public Policy Institute of California, 2019
In 2010, California adopted the Common Core State Standards (CCSS) for math and English. The new standards are part of a state effort to prepare students for college and careers in the 21st-century global economy and narrow longstanding achievement gaps. The state's implementation is complete, but because districts decide whether and when they…
Descriptors: Common Core State Standards, Program Implementation, Elementary Schools, Middle Schools
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