Analyzing the Impact of Counseling and Exercise on Job Satisfaction and Health Perceptions: A T-Test for Independent Samples Assignment #6

Preview (3 of 7 Pages)

100%

Analyzing the Impact of Counseling and Exercise on Job Satisfaction and Health Perceptions: A T-Test for Independent Samples Assignment #6 - Page 1 preview image

Loading page ...

SPSSAssignment #6The tTestfor IndependentSamplesSPSS instructions to run thet Test for Independent Samples: (For more details, check the linksprovided under “Course Materials” in the Course Overview Folder (under Lessons).Once you have entered the data, click onAnalyze, then onCompare Means, and then click onIndependent-Samples T Test…A dialog box will appear, with your variables (student, condition, score) on the left. Your optionsare (a) move one or more variables into the “Test Variable(s)” box to select your dependentvariables(s) and (b) move one of your variables into the “Grouping Variable” box to select theindependent 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 “DefineGroups” button is functioning, click onDefine Groupsand another dialog box appears. Hereyou must specify the two values of the condition variable that represent the two groups you arecomparing.Clickin the box next to Group 1 and type the number 1, thenclickin the box next toGroup 2 and type the number 2. Now you can clickContinueto return to the “Independent-Samples T Test” dialog box, and click onOKto run the analysis.1.Six months after an industrial accident, a researcher has been asked to compare the jobsatisfaction of employees who participated in counseling sessions with the satisfaction ofemployees 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 thegroup that participated in counseling are statistically higher than the scores of employees whodid 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 methodto improve job satisfaction following industrial accidents based on evaluation of the nullhypothesis and calculate the effect size.

Loading page ...

PARTICIPATED IN COUNSELINGDID NOT PARTICIPATE IN COUNSELING363739354036363338303538373939354232The t Test for Independent SamplesResearch Question:Is there any difference between mean job satisfaction of the counseledemployees and those employees who did not undergo counseling?Null hypothesis:There is no difference between mean job satisfaction level ofthe counseled andnon-counseled employees.Alternate hypothesis:There exists significant difference between mean job satisfaction level ofthe counseled and non-counseled employees.Level of significance:α= 0.01Test Statistics:Independent sample t test for mean difference

Preview Mode

This document has 7 pages. Sign in to access the full document!

Report

Study Now!

Document Details

Related Documents

Statistics - Univariate Inferential Tests

Statistics - Sampling

Statistics - Probability

Statistics - Principles of Testing

Statistics - Numerical Measures

Statistics - Introduction to Statistics

Statistics - Graphic Displays

Statistics - Cummulative Reviews

Statistics - Common Mistakes and Tables

Statistics - Bivariate Relationships

Company

Explore

Study Tools