The ANOVA results suggest that the Organizational Commitment scores of the groups differ significantly ( F 2, 338 = 9.248, p <. Participants were divided into three groups (Group 1: Junior Group 2: Middle Group 3: Senior). The hypothesis tests if the organizational commitment of employees differs across different management levels. H 1: There are significant differences in Organizational Commitment across different management levels. To investigate if the Organizational Commitment differs across different levels within the organization (Junior, Middle, & Senior) For example There is a significant difference in the Organizational Commitment Level of Junior and Senior level employees. If you find an asterisk, this means that the two groups being compared are significantly different from one another at the p<.05 level. Look for any asterisks (*) next to the values listed (Mean Difference). Look down the column labeled Mean Difference. Looking at the Multiple Comparisons table, the first column is divided into two items, I and J, each of the groups corresponding to Management Levels represented by the variable Rank is compared with other groups for differences. You should only run the Post-Hoc analysis only when there are significant overall differences as shown in the ANOVA table. In this scenario, since Homogeneity of Variances was not assumed, So We select Dunnett’s T3 from Equal Variances Not Assumed group boxĪpart from all the tables that we discussed earlier, One-Way ANOVA results display a new table of Multiple Comparisons this table would guide you if specific groups differ significantly from each other. Select Post Hoc Button from the One-Way ANOVA Dialog Box The statistical significance of the differences between each pair of groups is provided through Multiple Comparisons, for this you would have to run post-hoc tests. The problem now is that if someone asks you which group is different from which group, the results from the ANOVA table do not let the researcher know the significant of differences between two groups. 01) thus there are significant differences in Organizational Commitment across the different Management Levels.īut the question is since we have 3 groups, and there are significant differences across these 3 groups. In this particular case the Sig value is. 05 you would infer that there are significant differences across the groups. Now if the significance value if less than. You are actually interest in knowing if there are any significant differences on the dependent variable ( Organizational Commitment) across the groups. Keep the value in mind you will use this value in Post Hoc Analysis to be discussed later in the chapter.ĪNOVA: ANOVA table is of main interest. 05 we would infer that there are significant differences in the variation of score across the age groups. In that you check for variance between two groups, however in this case the variances are test for more than 2 groups. Test of Homogeneity of Variances: The next table of Test of Homogeneity of Variances shows you the results of Levene’s test the purpose is similar to Levene’s test of independent sample t-test. For instance, in case of Junior Level Employees, the average Organizational Commitment was 4.87. SPSS Output Window will present the following resultsĭescriptives: Shows the descriptive statistics for each of the category on the dependent variable.