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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
Thuneberg, Helena; Hautamäki, Jarkko; Hotulainen, Risto – Scandinavian Journal of Educational Research, 2015
The relationships between reasoning and school achievement were studied taking into account the multilevel nature (school- and class-levels) of the data. We gathered data from 51 classes at seven schools in metropolitan and Eastern Finland (N = 769, 395 males, 15-year-old students). To study scientific reasoning, we used a modified version of…
Descriptors: Foreign Countries, Science Process Skills, Abstract Reasoning, Academic Achievement
Mattern, Krista D.; Patterson, Brian F.; Wyatt, Jeffrey N. – College Board, 2013
Research has consistently shown that traditional admission measures--SAT® scores and high school grade point average (HSGPA)--are valid predictors of early college performance such as first-year grades; however, their usefulness to predict later college outcomes has been questioned, especially for the SAT. This study builds on previous research…
Descriptors: College Admission, Grade Point Average, College Entrance Examinations, Prediction
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
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
Shaw, Emily J.; Marini, Jessica P.; Mattern, Krista D. – Educational and Psychological Measurement, 2013
The current study evaluated the relationship between various operationalizations of the Advanced Placement[R] (AP) exam and course information with first-year grade point average (FYGPA) in college to better understand the role of AP in college admission decisions. In particular, the incremental validity of the different AP variables, above…
Descriptors: Advanced Placement Programs, Grade Point Average, College Freshmen, College Admission
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
Martin, Andrew J.; Wilson, Rachel; Liem, Gregory Arief D.; Ginns, Paul – Journal of Higher Education, 2014
In the context of "academic momentum," a longitudinal study of university students (N = 904) showed high school achievement and ongoing university achievement predicted subsequent achievement through university. However, the impact of high school achievement diminished, while additive effects of ongoing university achievement continued.…
Descriptors: Foreign Countries, College Students, Longitudinal Studies, Academic Achievement
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
Preckel, Franzis; Lipnevich, Anastasiya A.; Boehme, Katharina; Brandner, Lena; Georgi, Karsten; Konen, Tanja; Mursin, Katharina; Roberts, Richard D. – British Journal of Educational Psychology, 2013
Background: Chronotype refers to individuals' preference for morning or evening activities. Its two dimensions (morningness and eveningness) are related to a number of academic outcomes. Aims: The main goal of the study was to investigate the incremental validity of chronotype as a predictor of academic achievement after controlling for a number…
Descriptors: High School Students, Foreign Countries, Grade 9, Grade 10