Published on October 29, 2008
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 age groups. Dependent variable : Monthly Salary Independent variable : Age Group
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 know which group means are different, post hoc test will indicate this
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
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” 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
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 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
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)
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