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Showing 1 to 15 of 25 results Save | Export
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Giorgio Di Pietro – European Education, 2023
We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…
Descriptors: Student Characteristics, Barriers, Student Mobility, Foreign Countries
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Mangan, John; Trendle, Bernard – Education Economics, 2019
Traineeships have been shown to be successful in generating improved labour market outcomes and are often recommended as a policy option for disadvantaged youth. Regretfully data indicate that one such target group, Indigenous Australians, continues to have lower traineeship completion rates than the non-Indigenous. To address this issue, a…
Descriptors: Foreign Countries, Mentors, Indigenous Populations, Labor Market
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Mindrila, Diana L. – Psychology in the Schools, 2016
To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set,…
Descriptors: Classification, Student Behavior, Statistical Analysis, Multivariate Analysis
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Skiba, Russell J.; Arredondo, Mariella I.; Williams, Natasha T. – Equity & Excellence in Education, 2014
The term and construct "school-to-prison" pipeline has been widely used by advocates, researchers, and policymakers to describe the relationship between school disciplinary practices and increased risk of juvenile justice contact. It has been unclear whether the construct is a useful heuristic or a descriptor of empirically validated…
Descriptors: At Risk Students, Correctional Institutions, Institutionalized Persons, Discipline
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DiStefano, Christine A.; Kamphaus, Randy W.; Mindrila, Diana L. – School Psychology Quarterly, 2010
The purpose of this article was to examine a typology of child behavior using the Behavioral Assessment System for Children, Teacher Rating Scale (BASC TRS-C, 2nd edition; Reynolds & Kamphaus, 2004). The typology was compared with the solution identified from the 1992 BASC TRS-C norm dataset. Using cluster analysis, a seven-cluster solution…
Descriptors: Behavior Problems, Student Evaluation, Child Behavior, Rating Scales
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Kennedy, G.; Judd, T.; Dalgarno, B.; Waycott, J. – Journal of Computer Assisted Learning, 2010
Previously assumed to be a homogenous and highly skilled group with respect to information and communications technology, the so-called Net Generation has instead been shown to possess a diverse range of technology skills and preferences. To better understand this diversity, we subjected data from 2096 students aged between 17 and 26 from three…
Descriptors: Foreign Countries, Multivariate Analysis, Educational Technology, Misconceptions
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Ammon, Bridget V.; Bowman, Jamillah; Mourad, Roger – Journal of Applied Research in the Community College, 2008
This study showcases cluster analysis as a useful tool for those who seek to understand the types of students their community colleges serve. Although educational goal, academic program, and demographics are often used as descriptive variables, it is unclear which, if any, of these are the best way to classify community college students. Cluster…
Descriptors: Community Colleges, Student Characteristics, Profiles, Multivariate Analysis
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Cragg, Kristina M. – Research in Higher Education, 2009
The purpose of this study is to identify student and institutional characteristics that influence the probability for graduation. The study delves further into the probability for graduation by examining how far the student deviates from the institutional mean with respect to academics and affordability; this concept is referred to as the "match."…
Descriptors: Graduation, Institutional Characteristics, Multivariate Analysis, Probability
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Stromback, Thorsten; Mahendran, Anusha – International Journal of Training Research, 2010
There has been a discernable focus within many Australian industries on improving the rates of completion amongst their apprentices and trainees. This paper outlines the results of a study which involved a multivariate analysis of data relating to apprenticeship and traineeship completion, derived from a database developed by the Victorian…
Descriptors: Apprenticeships, Multivariate Analysis, Predictor Variables, School Holding Power
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Campbell, K. Celeste; Fuqua, Dale R. – Journal of College Student Retention: Research, Theory & Practice, 2008
This study identified factors that were potential predictors of student completion in a collegiate honors program, evaluated the relative predictive importance of these factors, and used them to describe how the completion groups differed. Records were examined from 336 freshman honors program participants at a large, Midwestern, public…
Descriptors: Honors Curriculum, Class Rank, Academically Gifted, Grade Point Average
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Weissman, Julie; Magill, Brett A. – Journal of The First-Year Experience & Students in Transition, 2008
Many institutions of higher education have designed a variety of first-year seminars to facilitate student transition to college. These seminars are often assessed in terms of their overall impact on academic performance and retention. However, limited research has been conducted to identify the types of seminars that are most effective for…
Descriptors: First Year Seminars, Academic Achievement, Multivariate Analysis, Program Effectiveness
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Lekholm, Alli Klapp; Cliffordson, Christina – Educational Research and Evaluation, 2008
The purpose of the study was to use multivariate multilevel techniques to investigate whether it was possible to separate different dimensions in grades that relate to subject-matter achievement and to other factors. Data were derived from The Gothenburg Educational Longitudinal Database (GOLD), and the subjects were 99,070 ninth-grade students…
Descriptors: Grades (Scholastic), Family Characteristics, Academic Achievement, Educational Attainment
Zeidenberg, Matthew; Cho, Sung-Woo; Jenkins, Davis – Community College Research Center, Columbia University, 2010
To increase the rate at which adult basic skills students advance to and succeed in college-level occupational programs, the Washington State Board for Community and Technical Colleges (SBCTC) developed the Integrated Basic Education and Skills Training, or I-BEST. In the I-BEST model, a basic skills instructor and an occupational instructor team…
Descriptors: Technical Institutes, Educational Objectives, Outcomes of Education, Labor Market
Shaienks, Danielle; Gluszynski, Tomasz; Bayard, Justin – Statistics Canada, 2008
The purpose of this paper is to capture and profile postsecondary education dropouts from three different types of postsecondary education--university, college and other types of institutions. It compares them with graduates from these three types of institutions. The analysis for this report is based on data from the Youth in Transition Survey…
Descriptors: Postsecondary Education, Dropout Rate, Dropouts, Education Work Relationship
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Papa, Frank, Jr. – Leadership and Policy in Schools, 2007
This study uses multivariate analysis of a large panel dataset to examine the determinants of principal retention (and, thus, the determinants of attracting a principal away from her current position). The empirical model incorporates measures of a principal's traits and of the organizational structure, culture, and situational context within a…
Descriptors: At Risk Students, Multivariate Analysis, Principals, Labor Turnover
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