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), Daniel’s test (cohort trends), and chi-squared test (renovated to non-renovated differences). Recommendations are provided for setting up future research to avoid problems and obtain better results.
Units: Dual
Citation: ASHRAE Transactions, vol. 109, pt. 2
Product Details
- Published:
- 2003
- Number of Pages:
- 9
- File Size:
- 1 file , 120 KB
- Product Code(s):
- D-20905
