"ERIC ED424804: Simulating The Effect Of Student Profile Changes On Retention And Graduation Rates: A Markov Chain Analysis. AIR 1998 Annual Forum Paper." - Information and Links:

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"ERIC ED424804: Simulating The Effect Of Student Profile Changes On Retention And Graduation Rates: A Markov Chain Analysis. AIR 1998 Annual Forum Paper." and the language of the book is English.


“ERIC ED424804: Simulating The Effect Of Student Profile Changes On Retention And Graduation Rates: A Markov Chain Analysis. AIR 1998 Annual Forum Paper.” Metadata:

  • Title: ➤  ERIC ED424804: Simulating The Effect Of Student Profile Changes On Retention And Graduation Rates: A Markov Chain Analysis. AIR 1998 Annual Forum Paper.
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  • Language: English

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  • Internet Archive ID: ERIC_ED424804

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"ERIC ED424804: Simulating The Effect Of Student Profile Changes On Retention And Graduation Rates: A Markov Chain Analysis. AIR 1998 Annual Forum Paper." Description:

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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 status. The results indicated that there are large, initial differences in graduation rates according to grade-point average (GPA) and course credit-load differences among students. Despite the strong association between grades and retention, this analysis indicated that even a 25 percent upward shift in grade distribution increased the total graduation rate by only 2.4 percent. A shift in 25 percent of students toward higher credit-load categories resulted in a total increase in the graduation rate of less than 1 percent. The simulation demonstrates that even significant changes in the distribution of students by GPA and course credit-load do not yield significant changes in graduation rates. (MDM)

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