Page 239 - Solid Waste Analysis and Minimization a Systems Approach

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RESEARCH METHODOLOGY

This chapter discusses the methodology that was used to create the waste estimation
model discussed in the previous chapter. The methodology applied the scientific
method to investigate the proposed model concepts and theories discussed in the pre-
vious chapter. The methodology was designed to incorporate the positive aspects of
previous studies and to overcome many of the shortcomings to lead to new knowledge.
An overview of the research methodology follows:

1 Determine types of data required for the model concept and hypotheses.
2 Collect data.
3 Characterize businesses according to waste stream compositions.
a. Conduct multivariate cluster analysis on mean material composition percentages
using SIC codes as initial grouping basis (ANOVA and F-tests).
b. Perform mean and variance hypotheses tests to validate results (F-tests and
Bartlett tests).
c. Analyze and interpret the results.
4 Identify dominant variables that influence waste quantities.
a. Conduct multivariable stepwise regression analysis.
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b. F-tests, R analyses, t-tests to determine significant variables.
c. Validate regression model assumptions.
d. Analyze and interpret the results (including correlation analysis).
5 Develop evaluation parameters for solid waste generation.
6 Integrate the model and develop the program for the model.
7 Validate the model.
a. Evaluate and analyze additional data collected from other methods versus the
model.
b. Conduct case studies using the regression models and performance parameters.
8 Discuss summary of findings and conclusions.

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