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Yin, Sylvia Chong Nguik – IAFOR Journal of Education, 2016
Universities are inundated with detailed applicant and enrolment data from a variety of sources. However, for these data to be useful there is a need to convert them into strategic knowledge and information for decision-making processes. This study uses predictive modelling to identify at-risk adult learners in their first semester at SIM…
Descriptors: Foreign Countries, Predictor Variables, Models, College Freshmen
Miech, Richard; Pampel, Fred; Kim, Jinyoung; Rogers, Richard G. – American Sociological Review, 2011
This article examines how educational disparities in mortality emerge, grow, decline, and disappear across causes of death in the United States, and how these changes contribute to the enduring association between education and mortality over time. Focusing on adults age 40 to 64 years, we first examine the extent to which educational disparities…
Descriptors: Mortality Rate, Etiology, Longitudinal Studies, Predictor Variables
Grafals, Zoraida – ProQuest LLC, 2013
The purpose of this study was twofold. First, this study was conducted to compare English communicative competency achievement between two different models of instruction. Adult English language learners (AELLs) participated in either the communicative task-based (CTB) or in a more traditional (MT) language instructional approach. The goal of the…
Descriptors: Self Efficacy, Second Language Learning, English (Second Language), Control Groups
Fisher, Brian – New Directions for Higher Education, 2009
Whether intercollegiate athletics influence outside perceptions of institutional reputation and educational quality--and whether this translates into improvements in recruiting students and donors--is disputed in the research literature. Researchers have typically attempted to correlate success on the field or court with variables such as…
Descriptors: College Athletics, Reputation, Success, Literature Reviews
National Centre for Vocational Education Research (NCVER), 2009
This user guide has been developed for users of the Longitudinal Surveys of Australian Youth (LSAY). It consolidates existing technical documentation and other information into one document. The guide aims to address all aspects of the LSAY data including: how to access the data, data restrictions, variable naming conventions, the structure of the…
Descriptors: Longitudinal Studies, Foreign Countries, Research Reports, Access to Information
Kerby, Dave S.; Ragan, Katie M. – International Journal of Aging and Human Development, 2002
Leisure activities are widely used in research to predict important outcomes, but the existing studies use different classification schemes and apparently rely on the intuition of the researcher to classify activities. The goal of the current study was to use the Holland RIASEC personality system to empirically classify activities using a sample…
Descriptors: Multidimensional Scaling, Recreational Activities, Predictor Variables, Classification
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries