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# Data Analysis with SPSS : One-way ANOVA

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### Transcript

• 1. Data Analysis with SPSS One-way ANOVA
• 2. Analyze  Compare Means  One-Way Anova
• 3. Example: We want to examine whether there are significant differences in the monthly salary of employees from different age groups. Dependent variable : Monthly Salary Independent variable : Age Group
• 4. MONTHLY SALARY OF RESPONDENT AGE GROUP OF RESPONDENT Dependent List Factor
• 5. Press “Post Hoc” Multiple Comparisons Dialog Box
• 6. In this example, I have chosen “Scheffe”. Then press “Continue”
• 7. Press “OK” to execute
• 8. Oneway F = 132.032, Sig. = .000 Shows that the mean salary of the three age groups are significantly different We do not know which group means are different, post hoc test will indicate this
• 9. Post Hoc Tests Scheffe Multiple Comparisons test shows that all the three group means are significantly different from one another, sig. (or p) ≤ 0.001
• 10. Lets look at two other examples
• 11. ANOVA to test whether there is/are significant difference(s) in the means of “importance of growth and development” between employees of different age groups F = 0.370, p = 0.691 p >0.05, so t here is no significant difference between the means of the three age groups for the importance of “growth and development” Example 1
• 12. Post Hoc Tests All the significant levels are more than 0.05, so there is no difference in the means of the groups
• 13. Example 2 ANOVA to test whether there is/are significant difference(s) in the means of “importance of safe work environment (penvr)” between employees of different age groups F = 3.911, p = 0.02 p = 0.02, (i.e. ≤ 0.05), so there is significant difference between the means
• 14. Post Hoc Tests Scheffe test shows that there is significant difference between a pair of means: “25 YEARS AND BELOW” and “ 36 YEARS AND ABOVE ”, p = 0.023 ( ≤0.05)
• 15. Thank You