Data Analysis with SPSS One-way ANOVA
Analyze    Compare Means    One-Way Anova
Example: We want to examine whether there are significant differences in the monthly salary of employees from different ag...
MONTHLY SALARY OF RESPONDENT AGE GROUP OF RESPONDENT Dependent List Factor
Press “Post Hoc” Multiple Comparisons Dialog Box
In this example, I have chosen “Scheffe”. Then press “Continue”
Press “OK” to execute
Oneway F = 132.032, Sig. = .000 Shows that the mean salary of the three age groups are significantly different We do not k...
Post Hoc Tests Scheffe Multiple Comparisons test shows that all the three group means are significantly different from one...
Lets look at two other examples
ANOVA to test whether there is/are significant difference(s) in the means of “importance of growth and development” betwee...
Post Hoc Tests All the significant levels are more than 0.05, so there is no difference in the means of the groups
Example 2 ANOVA to test whether there is/are significant difference(s) in the means of “importance of safe work environmen...
Post Hoc Tests Scheffe test shows that there is significant difference between a pair of means:  “25 YEARS AND BELOW”  and...
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Data Analysis with SPSS : One-way ANOVA

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Data Analysis with SPSS : One-way ANOVA

  1. 1. Data Analysis with SPSS One-way ANOVA
  2. 2. Analyze  Compare Means  One-Way Anova
  3. 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. 4. MONTHLY SALARY OF RESPONDENT AGE GROUP OF RESPONDENT Dependent List Factor
  5. 5. Press “Post Hoc” Multiple Comparisons Dialog Box
  6. 6. In this example, I have chosen “Scheffe”. Then press “Continue”
  7. 7. Press “OK” to execute
  8. 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. 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. 10. Lets look at two other examples
  11. 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. 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. 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. 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. 15. Thank You
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