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Ch 12 1-way ANOVA SPSS example

Ch 12 1-way ANOVA SPSS example. Part 2 - Nov 15th. SPSS Example for 1-way ANOVA. Harassment data set with school district employees “School” variable indicates work setting 1=elementary school 2=middle school 3=high school “Harassment in 1997” indicates har experiences from ’96-’97

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Ch 12 1-way ANOVA SPSS example

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  1. Ch 12 1-way ANOVA SPSS example Part 2 - Nov 15th

  2. SPSS Example for 1-way ANOVA • Harassment data set with school district employees • “School” variable indicates work setting • 1=elementary school • 2=middle school • 3=high school • “Harassment in 1997” indicates har experiences from ’96-’97 • Does the work setting influence harassment experiences?

  3. (cont.) • Get “anova_class” file from link on webpage • In SPSS menus: Analyze  Compare Means  One-way ANOVA • Then, “Dependent List” can indicate as many dependent variables as you’d like…here “Harassment in 1997” • In “Factor” indicate the ‘grouping’ variable on which you’ll compare Harassment means… here “School”

  4. (cont.) • Click the “Options” button at bottom, click the box for Descriptives under “Statistics”, hit continue… • Click the “Post Hoc” button at bottom, click the box for “Bonferroni”, hit continue… • (this will give you output for follow-up comparisons in case your overall ANOVA is signif  if it’s not, you’ll ignore these comparisons) • Now hit “OK” to run the analysis

  5. Output • You’ll have 3 sections of output… • The 1st reports the group harassment means for elementary, middle, and high school employees • You’ll need to look back at this to help w/interpretation in case your ANOVA is signif! • 2nd gives the overall ANOVA F test – for the null hypothesis of “no group differences” • Notice the MSBetween and MS Within, then the F statistic is your F obtained value, next to that is the “Sig” value • If “Sig” value is < .05 (or .01 – depends on alpha)  Reject Null and conclude there are significant group differences

  6. (cont.) • But where are the signif group differences? Which groups differ? • 3rd section gives follow-up comparisons (Bonferroni – but remember to use .05/3 = .017 as your new comparison alpha level) • Check each row for which pairs are being compared, then its “sig” value • If “sig” < .017 (or whatever your new alpha is)  Reject null of equal group means; conclude those 2 group means differ • Which schools significantly differ in harassment experiences?

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