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Theobald, Elli – CBE - Life Sciences Education, 2018
Discipline-based education researchers have a natural laboratory--classrooms, programs, colleges, and universities. Studies that administer treatments to multiple sections, in multiple years, or at multiple institutions are particularly compelling for two reasons: first, the sample sizes increase, and second, the implementation of the treatments…
Descriptors: Educational Research, Hierarchical Linear Modeling, Program Implementation, Predictor Variables
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
Shaw, Emily J.; Mattern, Krista D. – Educational Assessment, 2013
This study explores the value in using the difference between a student's predicted first-year grade point average (FYGPA), based on high school grade point average and SAT scores, and their observed FYGPA, namely, their FYGPA residual, as a tool in identifying those at risk for leaving an institution. Specifically, this study examined whether…
Descriptors: College Students, High Achievement, Low Achievement, Student Attrition
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
Fass-Holmes, Barry; Vaughn, Allison A. – Journal of International Students, 2014
Are international undergraduates struggling academically, and are their struggles due to weaknesses in English as a second language? The present study showed that 1) at most 10% of these students in three cohorts (ranging in size from N = 322 to N = 695) at an American west coast public university struggled (quarterly grade point averages below C)…
Descriptors: Undergraduate Students, Foreign Students, Academic Ability, Grade Point Average
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
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
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