Analyzing the Impact of Counseling and Exercise on Job Satisfaction and Health Perceptions: A T-Test for Independent Samples Assignment #6
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Solved assignment applying T-tests to assess the relationship between counseling, exercise, job satisfaction, and health perceptions.
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SPSS Assignment #6 The t Test for Independent Samples SPSS instructions t o run t he t Test for Independent Samples: (For more details, check the links provided under “Course Materials” in the Course Overview Folder (under Lessons). Once you have entered the data, click on Analyze , then on Compare Means , and then click on Independent - Samples T Test … A dialog box will appear, with your variables (student, condition, score) on the left. Your options are (a) move one or more variables into the “Test Variable(s)” box to select your dependent variables(s) and (b) move one of your variables into the “Grouping Variable” box to select the independent variables (or identify the groups to be compared). Make “?” the dependent variable by moving it to the “Test Variable(s)” box. Then make “?” your independent variable by moving it to the “Grouping Variable” box. Now, the “Define Groups” button is functioning, click on Define Groups and another dialog box appears. Here you must specify the two values of the condition variable that represent the two groups you are comparing. Click in the box next to Group 1 and type the number 1, then click in the box next to Group 2 and type the number 2. Now you can click Continue to return to the “Independent - Samples T Test” dialog box, and click on OK to run the analysis. 1. Six months after an industrial accident, a researcher has been asked to compare the job satisfaction of employees who participated in counseling sessions with the satisfaction of employees who chose not to participate. The scores on a job satisfaction inventory for both groups are listed in the table below. Use the five steps of hypothesis testing to determine whether the job satisfaction scores of the group that participated in counseling are statistically higher than the scores of employees who did not participate in counseling at the .01 level of significance. In Step 2, show all calculations. As part of Step 5, indicate whether the researcher should recommend counseling as a method to improve job satisfaction following industrial accidents based on evaluation of the null hypothesis and calculate the effect size.
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PARTICIPATED IN COUNSELING DID NOT PARTICIPATE IN COUNSELING 36 37 39 35 40 36 36 33 38 30 35 38 37 39 39 35 42 32 The t Test for Independent Samples Research Question: Is there any difference between mean job satisfaction of the counseled employees and those employees who did not undergo counseling? Null hypothesis: There is no difference between mean job satisfaction level of the counseled and non - counseled employees. Alternate hypothesis: There exists significant difference between mean job satisfaction level of the counseled and non - counseled employees. Level of significance: α = 0.01 Test Statistics: Independent sample t tes t for mean difference
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