Assessing Aircraft Noise Conditions Affecting Student Learning, Volume 1: Final Report (2014) / Chapter Skim
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Pages 25-32
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with a more detailed examination at a small sample of schools that the analysis identifies as atypical. Alternative 2: Macro-analysis (40 airports)
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It was concluded that the research plan candidates fall short of meeting sample size minimums to varying degrees However, the power analysis was based on previous research involving only Leq-based aircraft noise metric. The current study is planned to explore metrics that are distinctly different from Leq in hopes of finding one that has a better relationship with learning.
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TABLE 4-3 Pugh Matrix Rating Scheme Relative Performance Rating Much worse than reference concept (Datum) 1 Worse than reference concept (Datum)
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4.3.2. Results of the Formal Evaluation Process Seventeen members of ACRP 02-26 Panel and the project team evaluated the five research study candidates based on the Pugh Matrix.
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across states; the assumption being that target and control schools at the state level are similar enough that any difference in achievement is due to the aircraft noise exposure. Comment: If highway is feeder to airport, then it should be viewed as airport-related.
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significant district-level variation not accounted for by school-level predictors, and where it is found, it will be included in the analysis. Grades.
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macro-analysis, but that the most important objective of the study was to develop a relationship between noise and test scores. The number of schools should be maximized to reduce risk.
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