A few months ago, the upper management at a large corporation decided they wanted to make major changes in the organization. Leadership is concerned that employees may be resistant to the change, and they want to find out if there is a change management method that would help employees accept change more effectively and keep employee satisfaction high. Two methods they have considered are the ADKAR Framework and the Prosci Change Management Methodology. The company wants to implement a small change in two departments be
A few months ago, the upper management at a large corporation decided they wanted to make major changes in the organization. Leadership is concerned that employees may be resistant to the change, and they want to find out if there is a change management method that would help employees accept change more effectively and keep employee satisfaction high. Two methods they have considered are the ADKAR Framework and the Prosci Change Management Methodology. The company wants to implement a small change in two departments before they make any major organization changes and would like to test the methods. The corporation uses the Devine Company to measure employee satisfaction with an anonymous survey.
t-Test: Two-Sample Assuming Equal Variances
| VARIABLE 1 | VARIABLE 2 | |
| Mean | 5.61 | 7.326666667 |
| Variance | 4.798172414 | 1.855816092 |
| Observations | 30 | 30 |
| Pooled Variance | 3.326994253 | |
| Hypothesized Mean Difference | 0 | |
| df | 58 | |
| t Stat | -3.645067529 | |
| P(T<=t) one-tail | 0.000286392 | |
| t Critical one-tail | 1.671552762 | |
| P(T<=t) two-tail | 0.000572783 | |
| t Critical two-tail | 2.001717484 |
Ha: Method 1 is not equal to Method 2
Ho: Method 1 = Method 2
My significance level or alpha is .05 and my df is 58 giving me the t-stat of -3.645067529, because this falls in my critical area I rejected the null hypothesis. From this test we can determine that Method 1 is not equal to Method 2, but is there a way that we can tell which method is better?
My assignment is to make a recomendation based on these findings
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