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Lily An; Zach Branson; Luke Miratrix – Annenberg Institute for School Reform at Brown University, 2024
Sometimes a treatment, such as receiving a high school diploma, is assigned to students if their scores on two inputs (e.g., math and English test scores) are above established cutoffs. This forms a multidimensional regression discontinuity design (RDD) to analyze the effect of the educational treatment where there are two running variables…
Descriptors: Hierarchical Linear Modeling, English Language Learners, English (Second Language), Second Language Learning
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
Wade, Carol H.; Sonnert, Gerhard; Sadler, Philip M.; Hazari, Zahra – American Secondary Education, 2017
Using data from the first National study on high school preparation for college calculus success, the Factors Influencing College Success in Mathematics (FICSMath) project, this article connects student high school instructional experiences to college calculus performance. The findings reported here reveal that students were better prepared for…
Descriptors: Transitional Programs, Secondary School Mathematics, College Mathematics, Calculus
Barnett, M.D.; Sonnert, G.; Sadler, P.M. – International Journal of Mathematical Education in Science and Technology, 2014
Relativizing the popular belief that student effort is the key to success, this article finds that effort in the most advanced mathematics course in US high schools is not consistently associated with college calculus performance. We distinguish two types of student effort: productive and ineffective efforts. Whereas the former carries the…
Descriptors: Calculus, Mathematics Achievement, Correlation, Advanced Courses
Means, Barbara; Wang, Haiwen; Wei, Xin; Lynch, Sharon; Peters, Vanessa; Young, Viki; Allen, Carrie – Science Education, 2017
Inclusive STEM high schools (ISHSs) (where STEM is science, technology, engineering, and mathematics) admit students on the basis of interest rather than competitive examination. This study examines the central assumption behind these schools--that they provide students from subgroups underrepresented in STEM with experiences that equip them…
Descriptors: STEM Education, High Schools, High School Students, Hierarchical Linear Modeling
Westrick, Paul A. – ACT, Inc., 2014
The purpose of this study was to determine if validity coefficients for ACT scores and high school grade point average (HSGPA) decayed or held stable over eight semesters of undergraduate study in science, technology, engineering, and mathematics (STEM) fields at civilian four-year institutions, and whether the decay patterns differed from those…
Descriptors: STEM Education, Validity, College Entrance Examinations, Scores
Zhang, Qian; Sanchez, Edgar I. – ACT, Inc., 2013
This study explores inflation in high school grade point average (HSGPA), defined as trend over time in the conditional average of HSGPA, given ACT® Composite score. The time period considered is 2004 to 2011. Using hierarchical linear modeling, the study updates a previous analysis of Woodruff and Ziomek (2004). The study also investigates…
Descriptors: High School Students, Grade Inflation, Grade Point Average, Hierarchical Linear Modeling
Roderick, Melissa; Holsapple, Matthew; Kelley-Kemple, Thomas; Johnson, David W. – Society for Research on Educational Effectiveness, 2014
Over the past 20 years, gaps in students' educational aspirations have shrunk considerably (Roderick et al., 2008; Roderick, Nagaoka, & Coca, 2011; Kao & Tienda, 1998; Avery & Kane, 2004; Turner, 2007; Deil-Amen & Tevis, 2010). Similarly, racial and ethnic gaps in college enrollment have shrunk. The one area in which postsecondary…
Descriptors: College Readiness, Graduation Rate, Higher Education, College Students
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
Wilson, James K., III – ProQuest LLC, 2012
The purpose of this study was to better predict how a first semester college freshman becomes prepared for college. The theoretical framework guiding this study is Vrooms' expectancy theory, motivation plays a key role in success. This study used a hierarchical multiple regression model. The independent variables of interest included high school…
Descriptors: Predictor Variables, College Readiness, College Freshmen, College Preparation
Maloney, Catherine; Sheehan, Daniel; Rainey, Katie – Texas Center for Educational Research, 2010
In 2007, the Texas Legislature (80th Texas Legislature, Regular Session, 2007) authorized the creation of the Texas Rural Technology (R-Tech) Pilot program, which provides $8 million in funding to support rural districts in implementing technology-based supplemental education programs. In order to be eligible for funding, districts must have…
Descriptors: Online Surveys, Teacher Surveys, Student Surveys, Facilitators (Individuals)