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DATA DRIVEN DECISION-MAKING

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					DATA DRIVEN DECISION-
MAKING
WHAT IS REQUIRED?
    Using Data to Inform Decisions
                About


 Which problems or issues to address
 The most effective and efficient
  strategies
 The allocation of resources

 Determining whether the outcomes
  were achieved
     Example: There are 50 high schools from
           which to recruit freshmen.

   What is the profile of each high school? The
    community?
   What is the A-G completion rate?
   What is the yearly yield to CSUB (apply, enroll) rate?
   Where should we focus our limited resources?
    e.g. 10 visits yield 5 students vs. 3 visits yield 20
    students
   What is the remediation rate? Which schools should
    we target for early intervention?
Data Driven Decision-Making at
            CSUB


    Students
    Academic    Programs
    Resources
            STUDENT SUCCESS –
           What are the Predictors?
   Which students are succeeding? What is the
    graduation rate?
   Which students are not succeeding?
   What are the early warning indicators for those on
    academic probation? (apply to those who are not
    currently on academic probation)
   What works? What is the outcome for students who
    do X versus those who do not? (e.g. track
    participation rates in a) advisement, b) other
    programs)
   What should the university stop doing? What new
    strategies should CSUB employ?
ACADEMIC PROGRAMS (e.g. Scans)
   What is the student continuation rate of each
    program?
   What is the graduation rate of each program?
   At what point in the major do students have
    difficulties?
   What is the progress of students at a) main campus,
    b) Antelope Valley towards completing the major?
   Number of major classes offered by time block
   Number of GE classes offered by time block
   Percent filled to capacity
   What is the viability of each program?
         Resource Allocation to CSUB
   How is CSUB funded? Cost/FTES Marginal Rate

   Total Marginal Cost                         $9,927/FTES
    Less Student Fees (avg for CSU)             ($2,234)
    State Funding Rate Every New FTES            $7,693

   Based on a Student/Faculty Ratio of 18.9:1 – (must track FTES
    enrollment of each course in each program by school)

   For every FTES we do not have or can’t account for we lose
    $7,693.
   If 10 FTES, then lost $76,930; if lose 50 FTES then $384,650
           NEW CSU POLICY


   Beginning in 2006, if campus is 2%
    below target, must return money to
    Chancellor’s Office- CSUB returned
    funds in 2007.
        Resource Allocation Model to the
             Schools/Departments



   Formula:
      New increase or decrease in FTES
       target/ SFR = new FTEF x $ Dollar
       Value
           Resource Allocation Model to the
                Schools/Departments



School      2008-09      2009-10   Inc/Dec FTES Growth/ $ to School
   new   FTEF x $
            Achieved   Value
                          Target   FTES     22 SFR = FTEF (1 FTEF =
                                                          $45,000)
    A      1500         1550       +50     50/22 =2.27    $102,272
    B      1100         1050       -50     -50/22=2.27    ($102,272)
                  Enrollmt
                    Mgt




Institutional   Developing
 Research,        a Data-      Admin.
                               Comp.
Planning &
Assessment
                   Driven     Services
                Environment




                   Budget
                   Office

				
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posted:8/28/2012
language:English
pages:11