Abstract:
Abstract: Minimizing construction waste can help achieve the environmental, economic, and social benefits of sustainable
construction. Types of waste may include those known as non-value adding activities. Studies on the effects of construction waste on
project performance are important to enable mitigation actions. Most of such studies, however, are based on perception surveys. This
has led to problems in deriving valid information using parametric methods during the statistical analysis of the response. These
problems are mainly related to the assumptions concerning the underlying distribution and the categorical nature of the data. This paper
explores a class of nonparametric methods for analyzing survey data concerning the effects of construction waste on project
performance. It includes a number of nonparametric tests and post-hoc procedures for repeated measures. Data concerning seven types
of construction waste on the generation of material waste from past study are used for this purpose. The results show that consistent
outcomes and inferences can be made using different nonparametric methods. A recommendation on which nonparametric methods to
use is given.
