# Project #3848 - SPSS Statistics

A young, hip researcher (e.g., he wears dropped crotch jeans to work) decides to conduct a study on the efficacy of personal coaching. To this effect, he has a random sample of managers undergo three sessions of personal coaching. The researcher is particularly interested in the effects of the personal coaching on a construct known as resilience, which is measured on an interval scale (‘time1’, ‘time2’, ‘time3’ in the SPSS data file). Four months after the third coaching session, the managers respond to the resilience questionnaire one more time as a follow-up to evaluate the long-term efficacy of the personal coaching (‘time4’). In addition to measuring resilience, the researcher also measures the gender of the manager who receives the coaching and the gender of the coach who provides the coaching. Finally, the researcher takes note of the industry within which the managers work (‘Mining’, ‘IT’, ‘Human Resources’, and ‘Banking’).

1Question 1: Using an omnibus approach, test the hypothesis that the four resilience means are equal. If the null hypothesis is rejected, be sure to note the pattern in the means and the corresponding trend analysis which best represents the pattern in the means.

Question 2: Test the hypothesis that the gender of the manager interacts with the gender of the coach. Use the time1 variable as the dependent variable. In addition to the interaction effect, the researcher is also interested in knowing whether the gender of the coach main effect can be interpreted. When plotting the means, specify gender of the coach as separate lines and gender of the manager as horizontal axis.

Question 3: Using an omnibus approach, test the hypothesis that there are mean differences between the four industries on the time1 dependent variable. If the omnibus statistic is statistically significant, follow-up with some post-hoc testing via Tukey’s HSD.1

 Subject Science Due By (Pacific Time) 04/02/2013 12:00 am
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