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Vuolo, Mike – Sociological Methods & Research, 2017
Often in sociology, researchers are confronted with nonnormal variables whose joint distribution they wish to explore. Yet, assumptions of common measures of dependence can fail or estimating such dependence is computationally intensive. This article presents the copula method for modeling the joint distribution of two random variables, including…
Descriptors: Sociology, Research Methodology, Social Science Research, Models
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Kot, Felly Chiteng – Research in Higher Education, 2014
To enhance student success, many colleges and universities have expanded academic support services and programmatic interventions. One popular measure that has been recognized as critical to student success is academic advising. Many institutions have expanded advising by creating centralized units staffed with professional advisors who serve…
Descriptors: College Freshmen, Enrollment, Intervention, Academic Support Services
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Schmitt, Neal; Golubovich, Juliya; Leong, Frederick T. L. – Assessment, 2011
The impact of measurement invariance and the provision for partial invariance in confirmatory factor analytic models on factor intercorrelations, latent mean differences, and estimates of relations with external variables is investigated for measures of two sets of widely assessed constructs: Big Five personality and the six Holland interests…
Descriptors: Computation, Factor Analysis, Personality Traits, Psychological Studies
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Turner, Rolf; Shulruf, Boaz; Li, Meisong; Yuan, Johnson – Asia Pacific Journal of Education, 2012
University entrance criteria can be a contentious topic, particularly in respect of equity. In this paper we discuss studies which demonstrate that revisions of entrance criteria which are designed with no explicit reference to equity issues can have a surprisingly positive impact on the fractions of disadvantaged subgroups admitted. We…
Descriptors: Admission Criteria, Statistical Significance, Foreign Countries, Equal Education
Borden, Victor M. H.; Dalphin, John F. – 1998
This study used Markov chain matrices to simulate the effect of varying degrees of change in student characteristics on retention and graduation rates. Data were applied to a 1-year enrollment transition matrix that tracks how students of each class level progress into the same or higher class levels, to a completed degree, or to non-returning…
Descriptors: Academic Persistence, College Students, Credits, Enrollment