ABSTRACT
This chapter presents the analytical methods used to evaluate the research data and the findings. The structural equation model for the Susanne G. Scott and Reginald A. Bruce research accounted for 37 percent, 39 percent, and 29 percent of the variance for innovative behavior, support for innovation, and resource supply respectively. The path coefficient between Resource supply and innovative behavior was negative at the 0.05 significance level. Multiple linear regression was used to investigate the determinants of innovative behavior in the various sup-groups in the Engineering Department of XYZ Company. Regression analysis results of the base sample variables with innovative behavior were similar to the structural equation modeling results. The regression analysis for the Product Engineer sample of 34 engineers with the independent variables and the research variables innovative behavior, support for innovation, and resource supply had an F statistic that was significant at the 0.01, 0.001, and 0.001 levels respectively.
