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Richards, Zachary; Kelly, Angela M. – Physical Review Physics Education Research, 2023
The present study examined demographic and academic predictors of astronomy performance among a cohort of N=1909 community college students enrolled in astronomy courses in a large suburban community college during a four-year time frame, 2015-2019. The theoretical framework was based upon a deconstructive approach for predicting community college…
Descriptors: Grade Prediction, Community College Students, Astronomy, Predictor Variables
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Mogaladi, Tshegofatso; Mlambo, Motlatso – Journal of Student Affairs in Africa, 2022
Public higher education institutions in South Africa conduct Student Representative Council (SRC) elections yearly. However, there is a paucity of studies to determine factors that affect voter turnout in these elections. This descriptive quantitative study conducted an empirical analysis of factors influencing students' voter participation at…
Descriptors: Voting, College Students, Distance Education, Student Government
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Desroches, Gabriel; Poulin, François; Denault, Anne-Sophie – Applied Developmental Science, 2022
This study aimed at identifying and describing patterns of sports participation during high school among a general population of students and examining individual, social, and environmental predictors of pattern membership. A sample of 287 high school students (61% girls) from Quebec (Canada) annually reported all the organized sports in which…
Descriptors: Athletics, Student Participation, High School Students, Predictor Variables
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Zhang, Yi Leaf – Journal of College Student Retention: Research, Theory & Practice, 2022
Guided by the notion of academic momentum, this study drew data from longitudinal transcript records at a large public 4-year research university and examined factors that specifically contribute to community college transfer students' academic momentum. It also explored how early academic momentum along with students' sociodemographic…
Descriptors: College Transfer Students, Community Colleges, STEM Education, Educational Attainment
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DeMars, Christine E. – Journal of Experimental Education, 2020
Multilevel Rasch models are increasingly used to estimate the relationships between test scores and student and school factors. Response data were generated to follow one-, two-, and three-parameter logistic (1PL, 2PL, 3PL) models, but the Rasch model was used to estimate the latent regression parameters. When the response functions followed 2PL…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Simulation, Predictor Variables
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Yudiawan, Agus; Sunarso, Budi; Suharmoko; Sari, Fatma; Ahmadi – International Journal of Evaluation and Research in Education, 2021
This study aimed to map and tests the factors that influence online learning success in the COVID-19 era in Islamic Religious Higher Education in the West Papua region. Factors to be analyzed are student characteristics, internal motivation, instructor characteristics, quality of institutions and services, infrastructure and system quality,…
Descriptors: Electronic Learning, COVID-19, Pandemics, Islam
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Chatterjee, Ayona; Marachi, Christine; Natekar, Shruti; Rai, Chinki; Yeung, Fanny – College Student Journal, 2018
Improving graduation rates is one of the biggest missions in many universities across the country and it is surely the case on the campus of this institution. The work here presents a statistical tool box to use early academic performance as a predictor for graduation with logistic regression and machine learning techniques. The methods described…
Descriptors: Regression (Statistics), Student Characteristics, Graduation, Probability
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Prince, Angela M. T.; Hodge, Janie; Bridges, William C.; Katsiyannis, Antonis – Career Development and Transition for Exceptional Individuals, 2018
Youth with disabilities have consistently poor postschool engagement outcomes in employment and postsecondary education and training. At least once every 6 years, states are required to submit a State Performance Plan in which they report performance on the progress of students with disabilities (20 U.S.C. 1416(b)(1)). Indicator 14 requires states…
Descriptors: Disabilities, Youth Employment, Youth Opportunities, Predictor Variables
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Wolzinger, Renah; O'Lawrence, Henry – Pedagogical Research, 2018
This research predicts transfer readiness of student's characteristics and enrollment in CTE pathway; and most significantly addressed statewide CTE transfer students that meet the transfer requirements under CTE Taxonomy of program (TOP) code for students who transfer to a California State University (CSU), and Private or out-of-state university.…
Descriptors: Student Characteristics, Enrollment, College Transfer Students, Readiness
Lamana Finn, Kim – ProQuest LLC, 2017
The purpose of this study was to investigate the relationships between attachment style, shyness, shame, and college persistence and grade point average. While considerable research was conducted to examine these variables in children, less is known about how these variables interact in a college setting. This study used a quantitative,…
Descriptors: Attachment Behavior, Psychological Patterns, Academic Persistence, Grade Point Average
Ling, Jizhi; Radunzel, Justine – ACT, Inc., 2017
A majority of high school graduates aspire to earn a college degree (ACT, 2016), yet many students are graduating from high school unprepared to do college-level work. As a result, about one-third of college freshmen enroll in at least one developmental course upon entry to college (Skomsvold, 2014). Because developmental courses are often not…
Descriptors: High School Graduates, College Readiness, Probability, Student Characteristics
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Cooc, North – Exceptionality, 2018
Despite decades of research on racial disproportionality in special education, the underrepresentation of Asian Americans in services tends to be overlooked in policy and practice. Underrepresentation, however, raises the possibility of similar concerns about misidentification, bias, and racial inequality within schools as overrepresentation. Yet,…
Descriptors: Disproportionate Representation, Special Education, Asian American Students, School Districts
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Liang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning
Ganley, Colleen M.; George, Casey E.; Cimpian, Joseph R.; Makowski, Martha B. – American Educational Research Journal, 2018
Women are underrepresented in many science, technology, engineering, and mathematics (STEM) majors and in some non-STEM majors (e.g., philosophy). Combining newly gathered data on students' perceptions of college major traits with data from the Education Longitudinal Study of 2002 (ELS:2002), we find that perceived gender bias against women…
Descriptors: Majors (Students), Gender Differences, Sex Fairness, Females
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Holton, Mark – Journal of Further and Higher Education, 2018
Since the introduction of the post-1992 university, various, and ongoing, higher education (HE) policy reforms have fuelled academic, political, media and anecdotal discussions of the trajectories of UK university students. An outcome of this has been the dualistic classification of students as being from either 'traditional' or 'non-traditional'…
Descriptors: Foreign Countries, College Housing, Student Experience, Profiles
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