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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
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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
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Harwell, Michael; Moreno, Mario; Post, Thomas – Journal of Psychoeducational Assessment, 2016
This study examined the relationship between the American College Testing (ACT) college mathematics readiness standard and college mathematics achievement using a sample of students who met or exceeded the minimum 3 years high school mathematics coursework recommended by ACT. According to ACT, a student who scores 22 or higher on the ACT…
Descriptors: College Entrance Examinations, Mathematics Tests, College Mathematics, College Readiness
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Ndum, Edwin; Allen, Jeff; Way, Jason; Casillas, Alex – Journal of Advanced Academics, 2018
We examined the role of six psychosocial factors (PSFs) in explaining gender gaps in English Composition (n = 8,633) and College Algebra (n = 2,261) using data of first-year female (55%) and male students from 42 colleges. Using a multilevel model and controlling for prior achievement, we found that PSFs mediated between 3% and 41% of the gender…
Descriptors: College English, College Mathematics, Algebra, Hierarchical Linear Modeling
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Sadler, Philip; Sonnert, Gerhard – Journal for Research in Mathematics Education, 2018
This study addresses a longstanding question among high school mathematics teachers and college mathematics professors: Which is the best preparation for college calculus-- (a) a high level of mastery of mathematics considered preparatory for calculus (algebra, geometry, precalculus) or (b) taking calculus itself in high school? We used a data set…
Descriptors: Secondary School Mathematics, High School Students, Mathematics Instruction, Calculus
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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
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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
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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
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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
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Henry, Gary T.; Campbell, Shanyce L.; Thompson, Charles L.; Patriarca, Linda A.; Luterbach, Kenneth J.; Lys, Diana B.; Covington, Vivian Martin – Journal of Teacher Education, 2013
Calls for evidence-based reform of teacher preparation programs (TPPs) suggest the question: Do the current indicators of progress and performance used by TPPs predict effectiveness of their graduates when they become teachers? In this study, the indicators of progress and performance used by one program are examined for their ability to predict…
Descriptors: Teacher Education, Preservice Teachers, Evidence, Predictive Validity