Regional Correlates of Educational Performance In West Virginia Middle and High Schools Senator Bob - PowerPoint PPT Presentation

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Regional Correlates of Educational Performance In West Virginia Middle and High Schools Senator Bob

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Rank schools by 'Adjusted Performance Measures' to provide for a double blind ... significant (both statistically and policy wise) for 10th and 11th grade students. ... – PowerPoint PPT presentation

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Title: Regional Correlates of Educational Performance In West Virginia Middle and High Schools Senator Bob


1
Regional Correlates of Educational Performance In
West Virginia Middle and High Schools Senator
Bob PlymaleChair, Senate Education Committee
Michael J. Hicks, Ph.D. Viktoriya Rusalkina,
MBA www.marshall.edu/cber
2
Study Design
  • Technical Study of inputs/outputs in States High
    Schools and Middle Schools
  • Set-Up analysis for school financing research
  • Review existing research for gaps and
    misinterpretation
  • Perform WV specific analysis
  • Rank schools by Adjusted Performance Measures
    to provide for a double blind study of
    qualitative variables influencing educational
    outcome

3
Literature Review
  • Extensive economic literature on school
    performance with large samples
  • Total agreement that parental and community
    factors dominate outcomes
  • Much dissonance regarding link between school
    inputs and outcomes
  • Much research evidence erroneously applied in WV

4
This Analysis
  • A Study of 6-12th grade students in all of West
    Virginia public Schools (2000-2001 school year)
  • Model the relationship Y f(X, M, C)
  • Y is school performance (test scores, AP tests,
    test taking, etc.)
  • X is teacher quality (years and types of
    education, tenure, etc.)
  • M is school attributes (age, administrative
    profiles, class size, overall size, etc.)
  • C is control measures of regional characteristics
    (e.g school district educational attainment,
    incomes, poverty, etc.)
  • Run models on roughly 250 variables to find mix
    that best explains school performance (using
    technical measures of statistical relationship).
    Model explains 50 to 57 of variation in school
    performance in main results.

5
What Effects School Performance
  • Educational achievement of parents, regional per
    capita income and poverty are largest
    determinants of school performance (however we
    measured it). The effects mattered most for HS.
  • Teacher education (average years of college) were
    very significant (both statistically and policy
    wise) for 10th and 11th grade students.
  • Smaller classes, lower drop out rates and higher
    attendance at schools also are correlated with
    better test scores
  • More densely populated school districts enjoy
    better school performance

6
What Does Not Effects School Performance
  • Age of school
  • Presence of alternative education (home school
    and private school)
  • Attributes of administrators or their numbers
  • School size (though bigger schools enjoy better
    SAT and AP test scores)
  • Any visible 5 year trends in these variables

7
What We Dont Yet Know About
  • How these variables affect performance in
    elementary schools
  • How efficiently schools are using resources
  • What are the scale economies associated with
    schools
  • How do non-standard test takers affect
    performance
  • How many of these mechanisms influence individual
    students

8
Additional Research Options
  • Extend research to elementary schools
  • Link financing to performance (efficiency and
    economies of scale)
  • Perform double blind study of Adjusted
    Performance Measures to further isolate school
    factors explaining performance
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