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Correlation Analysis Paper

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Our results summarize the correlation analysis as well as describe the process for presenting and analyzing the model and hypothesis testing. To begin, the Pearson Coefficients in Table 13 show statistically significant high correlations between measures of the same variable, consistent with convergent validity (Bhattacherjee (2012). For example, the two measures (CPAR and Profit Margin) of the dependent variable, Project Performance, have a statistically significant Pearson Coefficient of 0.35. Likewise, the two measures (Observations and Certifications) of the independent variable, Culture of Safety, and our two measures of the independent variable, Safety Plan, have a statistically significant Pearson Coefficients of 0.65 and 0.42, …show more content…

Specifically, we build up regression models by incrementally adding variables to the previous model (Kim, 2016), as described and displayed in Tables 14 (model summary) and 15 (coefficients summary). We start with a baseline model (#1), which includes the constant and controls. We add each independent variable to the previous models, creating Models #2 and #3. Thereafter, we add the moderating variable, generating Model #4, which represents our conceptual model. Next, we include the best-fit model (#5) from “Backward” method. Model #5 is the best-fit model from a statistical significance and explanation of variance (R squared) aspect. Consequently, we analyze, but do not show other models produced from the “Backward” method, because they also overlap with Models #1 through #4. We repeat this systematic process for the financial measure (Profit Margin) of the dependent variable, Project Performance, creating Tables 15 (model summary) and 16 (coefficients summary). Finally, we illustrate a revised conceptual model, supported by the regression model and coefficient data, for both the operational (CPAR) and the financial measure (Profit Margin) of the Project Performance (see Figures 10 and 11). We now describe the regression model results, starting with the operational and followed by the financial measure of Project Performance. Project Performance

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