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Barra, Cristian; Zotti, Roberto – Tertiary Education and Management, 2017
The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…
Descriptors: Efficiency, School Statistics, Student Records, Information Utilization
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Kot, Felly Chiteng; Jones, Jennifer L. – College & Research Libraries, 2015
This study uses three cohorts of first-time, full-time undergraduate students (N = 8,652) at a large, metropolitan, public research university to examine the impact of student use of three library resources (workstations, study rooms, and research clinics) on academic performance. To deal with self-selection bias and estimate this impact more…
Descriptors: Undergraduate Students, Cohort Analysis, Research Universities, Library Services
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Soh, Kay Cheng – Higher Education Review, 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items
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D'Amico, Mark M.; Dika, Sandra L. – Journal of College Student Retention: Research, Theory & Practice, 2013
The authors use data known at the time of initial enrollment to explore the first-year GPAs and second-year retention of first-generation (FGCS) and non-first-generation (non-FGCS) college students. The setting was a diverse, public, urban doctoral institution (approximately 50% FGCS and 30% minority). Multiple linear and logistic regressions run…
Descriptors: First Generation College Students, Success, Predictor Variables, Predictive Validity
Roszkowski, Michael J.; Soven, Margot – Performance Improvement Quarterly, 2010
A popular taxonomy for categorizing outcomes of training is the four-level model formulated by Kirkpatrick (1959). The first level in the model consists of reactions to training. Kirkpatrick recognized only affective reactions, but more recent reformulations of the model posit other types of reactions, including utility and perceptions of…
Descriptors: Outcomes of Education, College Freshmen, School Orientation, Program Evaluation
Goble, Lisbeth J. – ProQuest LLC, 2010
Choosing a college is one of the first important decisions that many young adults undertake. Popular media suggests how students should find an appropriate college based on traditional practices (Hallet, 2008; Kulman, 2007), yet, many aspects of the reality experienced by new kinds of students and colleges is largely ignored in the college choice…
Descriptors: Graduation Rate, College Choice, Academic Persistence, Information Sources
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Ajegbomogun, Fredrick Olatunji; Popoola, Sunday Olarenwaju – Education for Information, 2013
This study examined motivational strategies and utilisation of Internet resources as determinants of research productivity of lecturers in universities of agriculture in Nigeria. One thousand, one hundred and thirty two (1,132) copies of the questionnaire were administered on the lecturers in universities of agriculture in Nigeria. Eight hundred…
Descriptors: Internet, Productivity, Agricultural Colleges, Agricultural Education
Carr, Joel L. – ProQuest LLC, 2010
The purpose of this study is to examine the differences between groups of psychology students and groups of psychology professionals based on the personality trait of Extraversion, and its facets, as measured by the NEO Personality Inventory-Revised (NEO PI-R; Costa & McCrae, 1992). Previous applications of the NEO PI-R have focused on…
Descriptors: Statistical Analysis, Psychology, Personality Traits, Graduate Students