A methodology for analyzing the association between student performance and indoor air quality

Past research that has evaluated the association between student performance and some change variable (building renovation, room temperature, curriculum, teacher involvement, etc.) has focused on student-level data and has not adequately accounted for regression artifacts (regression to
the mean). The methodology presented in this paper provides guidance for the analysis of school-level student performance results through the use of the Smirnov test (randomness), Lilleifors test (normality), Daniels test (cohort trends), and chisquared test (renovated to non-renovated differences). Recommendations are provided for setting up future research to avoid problems and obtain better results.