An Information Processing Approach to Student Retention: A Multivariate perspective

An Information Processing Approach to Student Retention: A Multivariate perspective

1. Identification of most relevant factors for student retention

   • First year student
     • Adams, Banks, Davis & Dickson, 2010;
     • Hodges et al., 2013;
     • Willcoxson et al., 2011).
     • Kairamo, 2012
   • Minority groups
     • Gonyea, Shoup & Kuh, 2008
     • Carter, 2006
     • Heilig & Darling-Hammond, 2008
     • Allen (1999)
   • Womens in engineering
   • student retention/attrition
     • Grebennikov & Shah, 2012;
     • Lodge, 2011
     • Roberts, McGill & Hyland, 2012
     • Demetriou & Schmitz-Sciborski, 2011
     • Troxel, 2010
   • Student retention models
     • Spady, 1970,
     • Tinto, 1975, 1993
     • Bean’s Student Attrition Model (1980, 1982
     • Bean & Metzner, 1985

2. Multivariate techniques for student retention

   • Factors identifications
     • Correlation Analysis
   • Prediction
     • Machine Learning and Data Mining
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     • Neuronal Networks
     • Regression alaysis
       • Astin and his colleagues (1987)
       • Tross et al. (2000)
       • Tross et al. (2000)
     • Logistic regression modeling
     • Survival Analysis
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