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Elaine M. Allensworth; Kallie Clark – Grantee Submission, 2020
High school GPAs (HSGPAs) are often perceived to represent inconsistent levels of readiness for college across high schools, while test scores (e.g., ACT scores) are seen as comparable. This study tests those assumptions, examining variation across high schools of both HSGPAs and ACT scores as measures of academic readiness for college. We find…
Descriptors: Grade Point Average, College Entrance Examinations, Predictor Variables, Academic Persistence
Elaine M. Allensworth; Kallie Clark – Educational Researcher, 2020
High school GPAs (HSGPAs) are often perceived to represent inconsistent levels of readiness for college across high schools, whereas test scores (e.g., ACT scores) are seen as comparable. This study tests those assumptions, examining variation across high schools of both HSGPAs and ACT scores as measures of academic readiness for college. We found…
Descriptors: Grade Point Average, College Entrance Examinations, Predictor Variables, Academic Persistence
Rodenbusch, Stacia E.; Hernandez, Paul R.; Simmons, Sarah L.; Dolan, Erin L. – CBE - Life Sciences Education, 2016
National efforts to transform undergraduate biology education call for research experiences to be an integral component of learning for all students. Course-based undergraduate research experiences, or CUREs, have been championed for engaging students in research at a scale that is not possible through apprenticeships in faculty research…
Descriptors: Graduation Rate, Biology, Undergraduate Students, STEM Education
Subedi, Bidya Raj; Reese, Nancy; Powell, Randy – Journal of Education and Training Studies, 2015
This study explored significant predictors of student's Grade Point Average (GPA) and truancy (days absent), and also determined teacher effectiveness based on proportion of variance explained at teacher level model. We employed a two-level hierarchical linear model (HLM) with student and teacher data at level-1 and level-2 models, respectively.…
Descriptors: Teacher Effectiveness, Hierarchical Linear Modeling, Predictor Variables, Academic Achievement
Elbaum, Batya; Myers, Nicholas D.; Rodriguez, Raymond J.; Sharpe, Sheree T. – Journal of Special Education Leadership, 2014
Following the reauthorization of the Individuals with Disabilities Education Act (IDEA, 2004), states were required to develop a State Performance Plan (SPP; U.S. Department of Education, 2011) addressing 20 accountability indicators for students with disabilities, ages 3 to 21. First and arguably foremost among these is Indicator 1, the ''percent…
Descriptors: Graduation Rate, Disabilities, Accountability, Federal Legislation
McArdle, John J.; Paskus, Thomas S.; Boker, Steven M. – Multivariate Behavioral Research, 2013
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, College Athletics