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SPSS Analysis for Corporate Social Performance - Report Example

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This work called "SPSS Analysis for Corporate Social Performance" describes the significant difference in the mean social disclosure between the two groups (B2C and B2B). From this work, it is clear about the results and their description. …
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SPSS Analysis for Corporate Social Performance
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Download file to see previous pages We now check for a significant difference in the mean social disclosure between the two groups (B2C and B2B). From the table below, the p-value for Lavene’s test is 0.026 (a value less than a 5% significance level, this means that the variability in the two conditions is different we, therefore, assume unequal variances and use the p-value assuming equal variances. The p-value is 0.332 (a value greater than 5% significance level), we fail to reject the null hypothesis and conclude that there is no statistically significant difference between the two conditions (B2C and B2B). We can conclude that the differences between condition Mean (for the community spend) are likely due to chance and not likely due to the independent variable manipulation.
From the table below, the p-value for Lavene’s test is 0.578 (a value greater than 5% significance level, which means that the variability in the two conditions is about the same we, therefore, assume equal variances and use the p-value assuming equal variances. The p-value is 0.076 (a value greater than 5% significance level), we fail to reject the null hypothesis and conclude that there is no statistically significant difference between the two conditions (B2C and B2B). We can conclude that the differences between condition Means (for the environment disclosure score) are likely due to chance and not likely due to the independent variable manipulation.
We now check for a significant difference in the mean social disclosure between the two groups (High and Low). From the table below, the p-value for Lavene’s test is 0.202 (a value greater than a 5% significance level, this means that the variability in the two conditions is about the same we, therefore, assume equal variances and use the p-value assuming equal variances. The p-value is 0.517 (a value greater than 5% significance level), we fail to reject the null hypothesis and conclude that there is no evidence of a statistically significant difference between the two conditions (High and Low). We can conclude that the differences between condition Mean (for the community spend) are likely due to chance and not likely due to the independent variable manipulation. ...Download file to see next pages Read More
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