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Olivera-Aguilar, Margarita; Rikoon, Samuel H.; Robbins, Steven B. – Journal of Higher Education, 2017
Most research examining the relationship between noncognitive variables and academic performance has tended to focus on developing linear prediction models. However, a more holistic understanding of academic success can be achieved by examining the noncognitive profiles of students and their relationship with academic outcomes. In the present…
Descriptors: Statistical Analysis, College Students, Academic Achievement, Grade Point Average
Adelman, Melissa; Haimovich, Francisco; Ham, Andres; Vazquez, Emmanuel – Education Economics, 2018
School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to…
Descriptors: Foreign Countries, Dropouts, At Risk Students, Identification
Archambault, Isabelle; Janosz, Michel; Dupéré, Véronique; Brault, Marie-Christine; Andrew, Marie Mc – British Journal of Educational Psychology, 2017
Background: In most Western countries, the individual, social, and family characteristics associated with students' dropout in the general population are well documented. Yet, there is a lack of large-scale studies to establish whether these characteristics have the same influence for students with an immigrant background. Aims: The first aim of…
Descriptors: Social Influences, Socioeconomic Status, Dropouts, Immigrants
Rump, Markus; Esdar, Wiebke; Wild, Elke – European Journal of Higher Education, 2017
The present study investigated individual differences in the effects of academic motivation based on self-determination theory (SDT), particularly intrinsic motivation, as well as identified, introjected, and external regulation on higher education students' intention to drop out. Based on previous research, we challenged the assumption of a…
Descriptors: Motivation, Individual Differences, Intention, Higher Education
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Cholewa, Blaire; Hull, Michael F.; Babcock, Catherine R.; Smith, Alexandre D. – School Psychology Quarterly, 2018
The negative consequences associated with out-of-school suspension (OSS) are widely recognized, yet its commonly utilized counterpart, in-school suspension (ISS), has received little attention. This study examined school and student characteristics that predicted ISS and its links to academic outcomes, using the nationally representative High…
Descriptors: Predictor Variables, Outcomes of Education, Suspension, Student Characteristics
Mengo, Cecilia; Black, Beverly M. – Journal of College Student Retention: Research, Theory & Practice, 2016
Violence against university students has significant impact on their mental health. The impact of violence on students' academic performance has received little attention. The primary purpose of this study is to examine the impact of sexual and physical/verbal violence on the academic performance of college students. Data from 74 case files of…
Descriptors: Violence, Victims, Grade Point Average, Dropouts
Hickman, Gregory P.; Sabia, Magaret F.; Heinrich, Randy; Nelson, LaCoñia; Travis, Frances; Veri, Tracy – Journal of At-Risk Issues, 2017
The authors examined the predictive nature of attentional biases and initial grade point average of ninth graders dropping out of high school. Attentional biases are cognitive shifts in focus that are linked in both time and context toward stimuli perceived by an individual as threatening. Data were collected from 68 high school freshmen (45.6%…
Descriptors: Attention, Bias, High School Freshmen, Predictor Variables
de Vries, Marieke; Verdam, Mathilde G. E.; Prins, Pier J. M.; Schmand, Ben A.; Geurts, Hilde M. – Autism: The International Journal of Research and Practice, 2018
Previously, a total of 121 children with an autism spectrum disorder (ASD) performed an adaptive working memory (WM)-training, an adaptive flexibility-training, or a non-adaptive control (mock)-training. Despite overall improvement, there were minor differences between the adaptive and mock-training conditions. Moreover, dropout was relatively…
Descriptors: Autism, Pervasive Developmental Disorders, Short Term Memory, Training
Gottfried, Michael A.; Plasman, Jay Stratte – American Educational Research Journal, 2018
While prior studies have examined the efficacy of career and technical education (CTE) courses on high school students' outcomes, there is little knowledge on timing of these courses and a potential link to student outcomes. We asked if the timing of these courses predicted differences in the likelihood of dropout and on-time high school…
Descriptors: Vocational Education, Dropouts, College Bound Students, High School Students
McDermott, Elana R.; Anderson, Sara; Zaff, Jonathan F. – Applied Developmental Science, 2018
A large body of work has examined factors that push and pull youth to drop out. However, a relatively minimal amount of work has examined whether and how these factors cluster in individuals' lives preceding or concurrent to leaving school. This study used Latent Class Analysis with a national sample (N = 1,942) to examine how push, pull, and…
Descriptors: Dropouts, Individual Characteristics, Classification, Multivariate Analysis
Abdel-Salam, Sami; Gunter, Whitney D. – Journal of Child & Adolescent Substance Abuse, 2014
The adolescent drug problem places a huge toll on society and a heavy burden on the criminal justice system. Research regarding the benefits of therapeutic community (TC) treatment for adolescents has shown it to be effective. Despite the ability of therapeutic communities to lower drug relapse and reduce criminality, a great deal remains unknown…
Descriptors: Adolescents, Therapy, Correlation, Predictor Variables
Wood, Laura; Kiperman, Sarah; Esch, Rachel C.; Leroux, Audrey J.; Truscott, Stephen D. – School Psychology Quarterly, 2017
High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors…
Descriptors: High School Students, Predictor Variables, Dropouts, Potential Dropouts
Ferreira, Regardt J.; Buttell, Frederick P. – Research on Social Work Practice, 2016
Objective: The purpose of the study was to evaluate the psychosocial predictors of propensity for abusiveness among a large sample of women ordered into a 26-week batterer intervention program (BIP). Method: The study employed a nonequivalent, control group design (comparing program completers to dropouts) in a secondary analysis of 485 women.…
Descriptors: Females, Family Violence, Dropouts, Predictor Variables
Crossley, Scott; McNamara, Danielle S.; Baker, Ryan; Wang, Yuan; Paquette, Luc; Barnes, Tiffany; Bergner, Yoav – International Educational Data Mining Society, 2015
Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused…
Descriptors: Online Courses, Large Group Instruction, Information Retrieval, Data Analysis