Hello I need help with answering these questions for this one-way repeated ANOVA

Within-Subjects Factors Measure: MEASURE_1 Dependent SED Variable sed1 2 sed2 3 sed3 4 sed4 5 sed Descriptive Statistics Mean Std. Deviation N Self-esteem at age 5 33.88 27.917 25 Self esteem at age 7 27.60 35.352 25 Self-esteem at age 9 29.60 31.492 25 Self-esteem at age 11 29.96 34.863 25 Self-esteem at age 13 16.08 16.951 25 Multivariate Tests Partial Eta Effect Value F Hypothesis df Error df Sig. Squared SED Pillai's Trace .555 6.549b 4.000 21.000 .001 555 Wilks' Lambda 445 6.549b 4.000 21.000 001 555 Hotelling's Trace 1.247 6.549b 4.000 21.000 .001 .555 Roy's Largest Root 1.247 6.549b 4.000 21.000 .001 .555 a. Design: Intercept Within Subjects Design: SED b. Exact statisticMauchly's Test of Sphericity Measure: MEASURE_1 Epsilonb Approx. Chi- Greenhouse- Within Subjects Effect Mauchly's W Square df Sig. Geisser Huynh-Feldt Lower-bound SED 470 16.945 9 050 747 865 250 Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix a. Design: Intercept Within Subjects Design: SED b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table Tests of Within-Subjects Effects Measure: MEASURE_1 Type Ill Sum Partial Eta Source of Squares df Mean Square F Sig Squared SED Sphericity Assumed 4539.088 1134.772 4.771 001 .166 Greenhouse-Geisser 4539.088 2.989 1518.796 4.771 .004 166 Huynh-Feldt 4539.088 3.461 1311.589 4.771 .003 166 Lower-bound 4539.088 1.000 4539.088 4.771 .039 .166 Error(SED) Sphericity Assumed 22834.512 96 237.860 Greenhouse-Geisser 22834.512 71.727 318.355 Huynh-Feldt 22834.512 83.058 274.922 Lower-bound 22834.512 24.000 951.438 Tests of Within-Subjects Contrasts Measure: MEASURE_1 Type Ill Sum Partial Eta Source SED of Squares df Mean Square F Sig Squared SED Linea 2762.244 2762.244 10.632 003 307 Quadratic 506.403 506.403 1.283 268 .051 Cubic 1267.876 1 1267.876 12.054 002 .334 Order 4 2.565 1 2.565 .013 .909 001 Error(SED) Linear 6235.456 24 259.811 Quadratic 9469.383 24 394.558 Cubic 2524.424 24 105.184 Order 4 4605.249 24 191.885Tests of Between-Subjects Effects Measure: MEASURE_1 Transformed Variable: Average Type Ill Sum Partial Eta Source of Squares df Mean Square F Sig. Squared Intercept 94009.472 1 94009.472 26.317 <.001 .523 error estimated marginal means sed estimates measure: measure_1 confidence interval mean std. lower bound upper comparisons for difference j sig. b .003 a n w based on the is significant at .05 level. b. adjustment multiple comparisons: bonferroni. multivariate tests partial eta value f hypothesis df squared pillai trace .001 s hotelling roy largest root each effect of sed. these are linearly independent pairwise among means. a. exact statistic3. base study design and spss output answer following questions: what your research why score increasing or decreasing in descriptives table c results test sphericity assumption if it met d report standard univariate assumed p apa format e alternative result wilks lambda g comparison interpretations needed h contrasts i interpret overall findings>