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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
William Parker Morgan IV – ProQuest LLC, 2020
Accurate placement into an initial college mathematics course is a key step toward the successful completion of college mathematics and, eventually, a college degree. Conversely, misplacement in mathematics may lead to a reduced likelihood of course completion and degree attainment. This study investigated the ability of two placement models to…
Descriptors: College Mathematics, College Students, Student Placement, Mathematics Achievement
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Roohr, Katrina; Olivera-Aguilar, Margarita; Ling, Guangming; Rikoon, Samuel – Assessment & Evaluation in Higher Education, 2019
Twenty-first century and higher-learning skills such as critical thinking are highly desired for new college graduates entering the workplace, especially with rapid changing technology and a more globalized economy. As a result, the importance of critical thinking development at higher education institutions has increased. The purpose of this…
Descriptors: Hierarchical Linear Modeling, College Students, Critical Thinking, Higher Education
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
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
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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
Westrick, Paul A. – ACT, Inc., 2015
This study examined the effects of differential grading in science, technology, engineering, and mathematics (STEM) and non-STEM fields over eight consecutive semesters. Using data from 62,122 students at 26 four-year postsecondary institutions, students were subdivided by institutional admission selectivity levels, gender, and student major…
Descriptors: Grading, Student Evaluation, STEM Education, Meta Analysis
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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