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Neba Afanwi Nfonsang – ProQuest LLC, 2022
This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare…
Descriptors: Hierarchical Linear Modeling, Scores, High School Students, Grade 10
Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Bicer, Ali; Capraro, Robert M.; Capraro, Mary M. – International Journal of Mathematical Education in Science and Technology, 2018
The purpose of this paper is to demonstrate Hispanic students' mathematics achievement growth rate in Inclusive science, technology, engineering, and mathematics (STEM) high schools compared to Hispanic students' mathematics achievement growth rate in traditional public schools. Twenty-eight schools, 14 of which were Texas STEM (T-STEM) academies…
Descriptors: Hispanic American Students, STEM Education, Mathematics Achievement, Achievement Gains
Seo, Eunjin; Lee, You-kyung – Educational Psychology, 2018
We examine the intrinsic value students placed on schoolwork (i.e. academic intrinsic value) and social relationships (i.e. social intrinsic value). We then look at how these values predict middle and high school achievement. To do this, we came up with four profiles based on cluster analyses of 6,562 South Korean middle school students. The four…
Descriptors: Friendship, Academic Achievement, Educational Benefits, Barriers
Townsend, Lisa; Musci, Rashelle; Stuart, Elizabeth; Ruble, Anne; Beaudry, Mary B.; Schweizer, Barbara; Owen, Megan; Goode, Carly; Johnson, Sarah L.; Bradshaw, Catherine; Wilcox, Holly; Swartz, Karen – Journal of School Health, 2017
Background: Although school climate is linked with youth educational, socioemotional, behavioral, and health outcomes, there has been limited research on the association between school climate and mental health education efforts. We explored whether school climate was associated with students' depression literacy and mental health stigma beliefs.…
Descriptors: Educational Environment, Depression (Psychology), Mental Health, Social Bias
Ewing, Maureen; Jagesic, Sanja; Wyatt, Jeff – College Board, 2018
Students who double major have higher earnings and are more satisfied with their educational experience in college than those who graduate with a single major. In this study, the authors examine the extent to which a student's experience with academic acceleration programs in high school, specifically successful participation in the Advanced…
Descriptors: Advanced Placement Programs, Criterion Referenced Tests, College Entrance Examinations, Scores
Houston, Derek A. – Illinois Education Research Council, 2018
This study examines the relationships between school funding and students' college preparation, postsecondary enrollment, and postsecondary degree attainment, adding to the literature on how money matters in education. The author addresses how past school funding levels among Illinois public high schools may have been associated with students'…
Descriptors: Public Schools, Educational Finance, Finance Reform, Educational Change
Allen, Jeff – Applied Measurement in Education, 2017
Using a sample of schools testing annually in grades 9-11 with a vertically linked series of assessments, a latent growth curve model is used to model test scores with student intercepts and slopes nested within school. Missed assessments can occur because of student mobility, student dropout, absenteeism, and other reasons. Missing data…
Descriptors: Achievement Gains, Academic Achievement, Growth Models, Scores
Analyzing the Achievement and Isolation of Immigrant and U.S.-Born Students: Insights from PISA 2012
Powers, Jeanne M.; Pivovarova, Margarita – Educational Policy, 2017
The 2016 Presidential election and the first months of the Trump administration have propelled immigration to the center of U.S. political debates. We use data from the Programme for International Student Assessment (PISA) 2012 to provide insights into the school experiences of high school-age immigrants and their U.S.-born peers. Our findings…
Descriptors: Immigrants, Academic Achievement, International Assessment, High School Students
Weston, Jennifer L.; McNamara, Danielle S. – Grantee Submission, 2013
Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring…
Descriptors: Intelligent Tutoring Systems, Hierarchical Linear Modeling, Correlation, Writing Instruction
Pazzaglia, Angela M.; Clements, Margaret; Lavigne, Heather J.; Stafford, Erin T. – Regional Educational Laboratory Midwest, 2016
This study used administrative data from Wisconsin Virtual School to identify patterns of student engagement in online courses (defined as the amount of time students were logged in to their course each week and how this varied over time). The study also examined whether the patterns were associated with course outcomes (defined as the percentage…
Descriptors: Learner Engagement, Online Courses, Outcomes of Education, Virtual Classrooms
West, John; Miller, Mary Lou; Myers, Jim; Norton, Timothy – Administrative Issues Journal: Connecting Education, Practice, and Research, 2015
Purpose, Scope, and Method of Study: The purpose of this study was to determine if a correlation exists between grade span for ninth grade and gains in math achievement test scores in 10th grade and 12th grade. A quantitative, longitudinal, correlational research design was employed to investigate the research questions. The population was high…
Descriptors: High School Students, Grade 9, Mathematics Achievement, Grouping (Instructional Purposes)
Rowe, Elizabeth; Baker, Ryan S.; Asbell-Clarke, Jodi – International Educational Data Mining Society, 2015
Educational games have the potential to be innovative forms of learning assessment, by allowing us to not just study their knowledge but the process that takes students to that knowledge. This paper examines the mediating role of players' moves in digital games on changes in their pre-post classroom measures of implicit science learning. We…
Descriptors: Educational Games, Science Instruction, Video Games, Coding
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