Performance Correlates for MPS Middle School Students

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    Performance Correlates for MPS Middle School Students - Presentation Transcript

    1. Correlates to MBST Math Value-added Statistically significant Trend towards significant
    2. Measured correlates with non-significant relations to MBST Math scores
      • Principals in 5 years -0.15
      • Advisory -0.14
      • Curriculum Mapping -0.11
      • Standards Implementation -0.06
      • Student Lead Conferences -0.05
      • Total Platform Rating -0.04
      • TLPI 4 years -0.03
      • Looping -0.02
      • Checklist 0
      • Effective Teaming 0.01
      • Integration 0.04
      • Leveled Reading 0.05
      • Teacher Years at the site 0.1
      • CMP Implementation 0.14
      • Teacher Years in the District 0.17
    3. Correlates to MBST Reading Value-added Statistically significant Trend towards significant
    4. Measured correlates with non-significant relations to MBST Reading scores
      • TLPI 4 years -0.22
      • Princ. 5 years -0.16
      • SIZE -0.1
      • Looping -0.09
      • number of students tested -0.07
      • Curriculum Mapping -0.07
      • Professional Development -0.03
      • Effective Teaming -0.02
      • Standards Implementation 0.01
      • Checklist 0.03
      • Advisory 0.09
      • Total Platform Rating 0.11
      • CMP Implementation 0.13
      • Student Lead Conferences 0.15
      • Integration 0.18
    5. Correlations with Middle School MBST Value-added
      • Math gains were significantly correlated with:
        • A) School size = -.45
        • B) Core teacher turnover = -.41
      • Reading gains were significantly correlated with:
        • A) Percent African American = -.48
        • B) Core teacher turnover = -.42
        • C) Percent students of color = -.42
        • D) Use of leveled reading books = .31
        • E) Teacher years in the district = .39
    6. Correlation Caveats
      • Small sample of data from the middle school team rankings of variables
      • Most data other than teacher turnover and enrollment are “soft indicators”
      • Correlation does not imply causation. That is, we don’t know that turnover causes low achievement; it may be that low achievement causes turnover; or that both are caused by another highly correlated factor (e.g. poor leadership)
    7. Definition of Core Teacher Turnover Percentage
      • (The total number of core teachers during the past three years minus the total number of core teacher positions) divided by
      • total number of core teacher positions
      • For example:
      • 9 total teachers in 3 years = (9-3)/3 = 200%
    8. Simple example
      • 5 of 28 schools had core staff turnover exceeding 200%:
      • ANDERSEN OPEN 222.00
      • CITYVIEW 258.00
      • GREEN CTR PARK 317.00
      • LINCOLN 330.00
      • JORDAN PARK SOEL 443.00
      • These schools had an average MBST score 10 pts lower than the other 23 schools with less than 200% turnover

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