This week, we are doing repeated measures ANOVA and I am unsure if I did it right. The sample we had shown in the video for this week had 3 levels for the teachers. However, our data sets do not show 3 levels. I am attaching the output I got with SPSS.

Here are the questions we have to answer this week, I just need to double check that I did the SPSS correct and the output looks right. I don't need the questions answered, just someone to look over my SPSS output.

1. What is the null hypothesis for your question?
2. What research design(s) would align with this question?
3. What dependent variable was used and how is it measured?
4. What independent variable is used and how is it measured?
5. If you found significance, what is the strength of the effect?
6. What is the answer to your research question?
7. What are the possible implications of social change?

Multivariate Tests Hypothesis Partial Eta Effect Value Error df Sig- Squared Marijuana Pillai's Trace 863 3626.222 1.000 578.000 .000 863 Wilks' Lambda -137 3626.222 1.000 578.000 863 Hotelling's Trace 6.274 3626.222 1.000 578.000 000 863 Roy's Largest Root 6.274 3626.222 1.000 578.000 .000 863 a. Design: Intercept Within Subjects Design: Marijuana b. Exact statistic Mauchly's Test of Sphericity" Measure: MEASURE_1 Epsilon Approx. Chi- Greenhouse- Lower Within Subjects Effect Mauchly's W square df Sig Geisser Huynh-Feldo bound Marijuana 1,000 ,000 1.090 1,000 1,090 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an idendry matrix. a. Design: Intercept Within Subjects Design: Marijuana b. May be used to adjust the degrees of freedom for the averaged vests of significance. Corrected tests are displayed In the Tests of within-Subjects Effects table. Tests of Within-Subjects Effects Measure: MEASURE 1 ype Ill Sum Partial EL Source of Squares diff Mean Square Squared Marijuana Sphericity Assumed 275488.18. 275488.167 3626.222 .000 -863 Greenhouse-Gelsser 275488.187 1.000 275488.187 3626.277 000 -863 Huynh-Feld 275488.187 1.000 275488.187 3626.222 000 -863 Lower-hound 275488.18 1.000 275488.187 3625-222 .863 Error(Marijuana) Sphericity Assumed 43911.313 578 75.971 Greenhouse-Geisser 43911.313 578.000 75.971 Huynh-Fekdo 43911.313 578.000 75.971 Lower-bound 43911.313 578.000 75.971 Tests of Within-Subjects Contrasts Measure: MEASURE_1 Type Ill sum Partial Eta Source Marijuana of Squares df Mean Square Squared Marijuana near 275488.187 1 275486.187 3626.222 .000 .863 Error(Marijuana) inear 43911.313 $78 75.971 Estimated Marginal Means MarijuanaMultivariate Tests Hypothesis Partial Eta Value F df Error df Sig. squared Pillai's trace .863 3626.222* 1.000 578.000 000 863 Wilks' lambda .137 3626.222* 1.000 578.000 000 .863 Hotelling's trace 6.274 3626.222 1.000 578.000 000 863 Roy's largest root 6.274 3626.222 1.000 578.000 .000 .863 Each F tests the multivariate effect of Marijuana. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a. Exact statistic Pairwise Comparisons Measure: MEASURE_1 95% Confidence Interval for Mean Difference" Difference (1- (1) Marijuana () Marijuana Std. Error Sig. Lower Bound Upper Bound 2 30.848 .512 000 29.842 31.854 2 -30.848 .512 .000 -31.854 -29.842 Based on estimated marginal means *. The mean difference is significant at the .05 level. b. Adjustment for multiple comparisons: Bonferroni