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Many methodological approaches have been utilized to predict student retention and persistence over the years, yet few have utilized a Bayesian framework. It is believed this is due in part

Many methodological approaches have been utilized to predict student retention and persistence over the years, yet few have utilized a Bayesian framework. It is believed this is due in part to the absence of an established process for guiding educational researchers reared in a frequentist perspective into the realms of Bayesian analysis and educational data mining.

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    Date Created
    • 2015
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  • Text
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    Note
    • Partial requirement for: Ph. D., Arizona State University, 2015
      Note type
      thesis
    • Includes bibliographical references (p. 128-141)
      Note type
      bibliography
    • Field of study: Educational psychology

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    by Philip Arcuria

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