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.
A methodology for analyzing the association between student performance and indoor air quality
![](https://www.aivc.org/sites/default/files/default_images/default_image_5.png)
Year:
2003
Bibliographic info:
Ashrae 2003, annual meeting, Kansas City, USA, June 2003, paper 4635, pp 9, 1 Fig., 32 Ref.