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Using Logistic Regression Model to Identify Student Characteristics to Tailor Graduation Initiatives
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
Glazerman, Steven; Dotter, Dallas – Educational Evaluation and Policy Analysis, 2017
We estimate school-choice preferences revealed by the rank-ordered lists submitted by more than 22,000 applicants to a citywide lottery for more than 200 traditional and charter public schools in Washington, D.C. The results confirm previously reported findings that commuting distance, school demographics, and academic indicators play important…
Descriptors: School Choice, Evidence, Charter Schools, Public Schools
Harwood, Vanessa; Preston, Jonathan; Grela, Bernard; Roy, Dooti; Harold, Olivia; Turcios, Jacqueline; Andrada, Kiyomi; Landi, Nicole – Journal of Speech, Language, and Hearing Research, 2017
Purpose: The toddler years are a critical period for language development and growth. We investigated how event-related potentials (ERPs) to repeated and novel nonwords are associated with clinical assessments of language in young children. In addition, nonword repetition (NWR) was used to measure phonological working memory to determine the…
Descriptors: Toddlers, Regression (Statistics), Short Term Memory, Language Acquisition
Leech, Kathryn A.; Ratner, Nan Bernstein; Brown, Barbara; Weber, Christine M. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Childhood stuttering is common but is often outgrown. Children whose stuttering persists experience significant life impacts, calling for a better understanding of what factors may underlie eventual recovery. In previous research, language ability has been shown to differentiate children who stutter (CWS) from children who do not stutter,…
Descriptors: Stuttering, Children, Predictor Variables, Probability
Wynn, Jesse – ProQuest LLC, 2017
The intention of this study was to better understand how certain aspects in a college student's life (i.e., perceived stress, styles of coping, and social support) or how combinations of these variables may contribute to higher levels of alcohol consumption. The present study examined the relationship between perceived stress, functional coping…
Descriptors: Undergraduate Students, Anxiety, Coping, Social Support Groups
Giallo, Rebecca; Gartland, Deirdre; Woolhouse, Hannah; Mensah, Fiona; Westrupp, Elizabeth; Nicholson, Jan; Brown, Stephanie – International Journal of Behavioral Development, 2018
The deleterious effects of maternal depression on child emotional and behavioral development are well documented, yet many children exposed to maternal depression experience positive outcomes. The aim of this study was to identify psychosocial factors associated with the emotional-behavioral resilience of four-year-old children of first-time…
Descriptors: Resilience (Psychology), Preschool Children, Mothers, Depression (Psychology)
Engzell, Per – Sociological Methods & Research, 2021
In studies of educational achievement, students' self-reported number of books in the family home is a frequently used proxy for social, cultural, and economic background. Absent hard evidence about what this variable captures or how well, its use has been motivated by strong associations with student outcomes. I show that these associations rest…
Descriptors: Educational Research, Research Problems, Books, Socioeconomic Background
Rastegr, Behnaz; Zarei, Abbas Ali – International Journal of Language Testing, 2023
Much has been done on assessment literacy (AL) components and job demand-resources (JD-R). However, an interdisciplinary look at AL components as the predictors of JD-R and its possible consequences for the engagement and burnout of teachers' assessment performance has been neglected. To fill this gap, the present study explored this issue in the…
Descriptors: Language Teachers, Teacher Burnout, English (Second Language), Second Language Learning
Crisp, Gloria; Doran, Erin; Salis Reyes, Nicole A. – Research in Higher Education, 2018
This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates across two time periods (2008-2009 and 2014-2015). A Bayesian model averaging approach is utilized to account for uncertainty in variable…
Descriptors: Graduation Rate, Predictor Variables, Student Characteristics, Institutional Characteristics
McNaughtan, Jon – Community College Journal of Research and Practice, 2018
Community college presidential tenure has consistently declined for decades, which leaves scholars to question what factors are associated with this phenomenon. While there are many potential reasons for presidential turnover, this study seeks to understand how presidential fit is associated with increased presidential departure. Guided by the…
Descriptors: Community Colleges, Tenure, College Presidents, Labor Turnover
Yilmaz, Emrullah; Kaygin, Hüseyin – Journal of Education and Training Studies, 2018
The aim of this study is to reveal the relation between lifelong learning tendency and achievement motivation. The sampling of the study consisted of 570 prospective teachers attending a pedagogical formation course at two universities in Turkey in 2016. Relational screening model was used in the study and the data were collected through…
Descriptors: Correlation, Lifelong Learning, Achievement Need, Foreign Countries
Hicks, Catherine – Journal of Workplace Learning, 2018
Purpose: This paper aims to explore predicting employee learning activity via employee characteristics and usage for two online learning tools. Design/methodology/approach: Statistical analysis focused on observational data collected from user logs. Data are analyzed via regression models. Findings: Findings are presented for over 40,000…
Descriptors: Workplace Learning, Electronic Learning, Participation, Employees
Lany, Jill – Developmental Science, 2018
Children who rapidly recognize and interpret familiar words typically have accelerated lexical growth, providing indirect evidence that lexical processing efficiency (LPE) is related to word-learning ability. Here we directly tested whether children with better LPE are better able to learn novel words. In Experiment 1, 17- and 30-month-olds were…
Descriptors: Language Acquisition, Word Recognition, Age Differences, Language Processing
Luke W. Miratrix; Jasjeet S. Sekhon; Alexander G. Theodoridis; Luis F. Campos – Grantee Submission, 2018
The popularity of online surveys has increased the prominence of using weights that capture units' probabilities of inclusion for claims of representativeness. Yet, much uncertainty remains regarding how these weights should be employed in analysis of survey experiments: Should they be used or ignored? If they are used, which estimators are…
Descriptors: Online Surveys, Weighted Scores, Data Interpretation, Robustness (Statistics)
Golino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit

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