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Direct linkZachary del Rosario – Journal of Statistics and Data Science Education, 2024
Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…
Descriptors: Foreign Countries, Engineering Education, Engineering, Technical Occupations
Westrick, Paul A.; Schmidt, Frank L.; Le, Huy; Robbins, Steven B.; Radunzel, Justine M. R. – Educational Assessment, 2021
This meta-analytic path analysis presents evidence that first-year academic performance (FYAP), measured by first-year grade point average (FYGPA) plays the major role in determining second-year student retention and that socioeconomic status (SES), measured by parental income, plays a negligible role. Based on large sample data used in a previous…
Descriptors: Meta Analysis, Academic Achievement, Academic Persistence, Grade Point Average
Showers, Anne H.; Kinsman, Jeremy W. – Learning Disability Quarterly, 2017
Using structural equation modeling, the study tested a theoretical model linking family background, student attributes, and college success. The sample consisted of 346 students with learning disabilities (LDs) who enrolled in college between 2004 and 2012. The data were taken from the public files of the Education Longitudinal Study: 2002. The…
Descriptors: Learning Disabilities, College Students, Structural Equation Models, Success
Cox, Bradley E.; McIntosh, Kadian; Reason, Robert D.; Terenzini, Patrick T. – Review of Higher Education, 2014
Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…
Descriptors: Data Analysis, Statistical Inference, Research Problems, Computation
Calvert, Carol Elaine – Open Learning, 2014
This case study relates to distance learning students on open access courses. It demonstrates the use of predictive analytics to generate a model of the probabilities of success and retention at different points, or milestones, in a student journey. A core set of explanatory variables has been established and their varying relative importance at…
Descriptors: Academic Achievement, Distance Education, Open Education, Probability
Young, Jacob T. N.; Litzler, Elizabeth – Community College Journal of Research and Practice, 2013
Transfer students' adjustment to college has received substantial attention by researchers. This focus has predominately investigated the observation of "transfer shock": a decrease in grade point average (GPA) experienced after transferring. In response to the persistent focus on transfer shock, growing attention has been directed…
Descriptors: Factor Analysis, Student Adjustment, Transfer Students, Factor Structure
Download full textShaw, Stacy; Radwin, David – National Center for Education Statistics, 2014
The web tables in this report provide original and revised estimates of statistics previously published in 2007-08 National Postsecondary Student Aid Study (NPSAS:08): Student Financial Aid Estimates for 2007-08 (NCES 2009-166). The revised estimates were generated using revised weights that were updated in August 2013. NPSAS:08 data were…
Descriptors: Student Financial Aid, Tables (Data), Comparative Analysis, Statistical Data
National Centre for Vocational Education Research (NCVER), 2012
Developed for users of the Longitudinal Surveys of Australian Youth (LSAY), this user guide consolidates information about the LSAY 2009 cohort into one document. The guide aims to address all aspects of the LSAY data including: how to access the data; data restrictions; variable naming conventions; the structure of the data; documentation;…
Descriptors: Foreign Countries, Employment, Classification, Longitudinal Studies
Zwick, Rebecca; Himelfarb, Igor – Journal of Educational Measurement, 2011
Research has often found that, when high school grades and SAT scores are used to predict first-year college grade-point average (FGPA) via regression analysis, African-American and Latino students, are, on average, predicted to earn higher FGPAs than they actually do. Under various plausible models, this phenomenon can be explained in terms of…
Descriptors: Socioeconomic Status, Grades (Scholastic), Error of Measurement, White Students
Bradford, George; Wyatt, Shelly – Internet and Higher Education, 2010
A study by Mullen and Tallent-Runnels (2006) found significance in the differences between online and traditional students' reports of instructors' academic support, instructors' demands, and students' satisfaction. They also recognized that the limitation to their study was their demographic data. In an original report funded by the Alfred P.…
Descriptors: Electronic Learning, Ethnicity, Student Attitudes, Satisfaction
National Centre for Vocational Education Research (NCVER), 2010
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. This "User guide" has been developed for users of the LSAY data. The guide endeavours to consolidate existing technical documentation and other relevant information…
Descriptors: Longitudinal Studies, Youth, Foreign Countries, Guides
National Centre for Vocational Education Research (NCVER), 2009
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. It uses large, nationally representative samples of young people to collect information about education and training, work, and social development. It includes surveys…
Descriptors: Educational Attainment, Foreign Countries, Youth, Social Development
Huang, Gary; Taddese, Nebiyu; Walter, Elizabeth – National Center for Education Statistics, 2000
This study examines the gaps related to gender and race/ethnicity in entrance, persistence, and attainment of postsecondary science and engineering (S&E) education. After reviewing selected prior research and examining potentially relevant variables in two National Center for Education Statistics (NCES) surveys, several variables were selected…
Descriptors: Engineering Education, College Science, Minority Group Students, Womens Education
