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Activity Number:
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312
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Social Statistics Section
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| Abstract - #302375 |
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Title:
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Applying Bayesian Networks to the Examination of Student Retention and Graduation
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Author(s):
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Xiaohong Li*+ and Melinda M. Holt
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Companies:
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Sam Houston State University and Sam Houston State University
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Address:
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200 Charles Holtom 10E, College Station, TX, 77840,
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Keywords:
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conditional probability ; conditional independence ; joint probability ; Bayesian network
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Abstract:
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This paper presents a method for constructing Bayesian Networks (BN) to model student success at a public university based on the prior information from Sam Houston State University's (SHSU) database of First Time Freshman cohorts from 2000 to 2006, We describe the use of BBN to examine the probabilistic relationships among student outcomes for the purpose of identifying families of factors associated with college success. We look at the affect of factors such as full or part time, instate or out of state, living on or off campus and admission types, etc. on retention and graduation rates. This will be accomplished by using Bayesian methods to analyze SHSU persistence data by using a computer application program - NeticTM3.25 (http://www.norsys.com).
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