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Ridwan, M. Rais; Hadi, Samsul; Jailani – Journal on Efficiency and Responsibility in Education and Science, 2022
This meta-analysis intends to determine the impact of cooperative learning model research findings on the mathematics learning outcomes of Indonesian vocational high school students. Based on moderator variables, such as grade level and student sample size, identify efficacy and publication bias measures. Data from descriptive analysis, which…
Descriptors: Cooperative Learning, Mathematics Education, Outcomes of Education, Vocational Schools
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Radunzel, Justine; Allen, Jeff – ACT, Inc., 2020
We examined how ACT® Aspire® (from grades 8 to 10), PreACT® (from grade 10), and ACT® test scores (from grades 10 and 11) relate to students' chances of scoring a 3 or higher as well as 4 or higher on selected Advanced Placement (AP) exams. Data for the study was available for 49,220 students from 318 high schools who had taken at least one AP…
Descriptors: Predictor Variables, Academic Achievement, College Entrance Examinations, High School Students
New York State Education Department, 2020
This document describes the model used to measure student growth for institutional accountability in New York State for the 2018/19 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index was first used in 2017/18 to make accountability…
Descriptors: Growth Models, Accountability, Scores, Predictor Variables
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Peters, Susan A. – Statistics Education Research Journal, 2011
This paper presents a framework that captures the complexity of reasoning about variation in ways that are indicative of robust understanding and describes reasoning as a blend of design, data-centric, and modeling perspectives. Robust understanding is indicated by integrated reasoning about variation within each perspective and across…
Descriptors: Statistics, Differences, Handwriting, Problem Solving
Zhou, Li; Griffin-Shirley, Nora; Kelley, Pat; Banda, Devender R.; Lan, William Y.; Parker, Amy T.; Smith, Derrick W. – Journal of Visual Impairment & Blindness, 2012
Introduction: The study presented here explored the relationship between computer and Internet use and the performance on standardized tests by secondary school students with visual impairments. Methods: With data retrieved from the first three waves (2001-05) of the National Longitudinal Transition Study-2, the correlational study focused on…
Descriptors: Homework, Assistive Technology, Science Tests, Secondary School Students
Barden, Tiffannie M. – ProQuest LLC, 2009
Our nation's bleak economic situation has forced state governments to cut educational funding. While funds are decreasing, accountability for student achievement remains high. The No Child Left Behind Act (NCLB) forces each state to create and implement an accountability system of rewards and sanctions based on standardized test scores. In…
Descriptors: State Government, Federal Legislation, Standardized Tests, Measures (Individuals)