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Hello, I need help to see if any of these 2 two-way ANOVA (First ANOVA 1-1 -- 1-5) (Second ANOVA 2-1 -- 1-5) have any
Hello, I need help to see if any of these 2 two-way ANOVA (First ANOVA 1-1 -- 1-5) (Second ANOVA 2-1 -- 1-5) have any significant data.
Two-Way ANOVA 1-1 through 1-5
Between-Subjects Factors Value Label N Employed? 1 Full-time 16 2 Part-time 67 3 Do not Work 20 Gender 1 Male 17 2 Female 86 Descriptive Statistics Dependent Variable: Outlook about your future Employed? Gender Mean Std. Deviation N Full-time Male 4.67 3.215 3 Female 5.23 1.481 13 Total 5.13 1.784 16 Part-time Male 4.90 1.287 10 Female 4.49 1.560 57 Total 1.55 1.520 67 Do not Work Male 5.25 2.363 4 Female 4.50 1.549 16 Total 4.65 1.694 20 Total Male 4.94 1.819 17 Female 4.60 1.551 86 Total 4.66 1.594 103 Levene's Test of Equality of Error Variancesa,b Levene Statistic df1 df2 Sig Outlook about your future Based on Mean 1.773 5 97 126 Based on Median 626 5 97 680 Based on Median and 626 61.294 680 with adjusted df Based on trimmed mean 1.682 5 97 .146 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: Outlook about your future b. Design: Intercept + employ3f + gender4a + employ3f * gender4aTests of Between-Subjects Effects Dependent Variable: Outlook about your future Type Ill Sum Partial Eta Source of Squares df Mean Square F Sig. Squared Corrected Model 8.237 5 1.647 637 672 032 Intercept 1003.503 1 1003.503 388.009 <.001 employ3f .003 gender4a .002 error total corrected a. r squared=".032" estimated marginal means employed dependent variable: outlook about your future confidence interval mean std. lower bound upper full-time part-time do not work gender male female post hoc tests multiple comparisons tukey hsd difference j sig. .48 ..81 .88 .81 .10 based on observed means. the term is square subsets hsda.b.c subset n .443 for groups in homogeneous are displayed. uses harmonic sample size="23.543." b. group sizes unequal. of used. type i levels guaranteed. c. alpha=".05.Profile" plots _> Do not Work Gender Male Female Univariate Analysis of Variance Between-Subjects Factors Value Label N Likes to Travel 1 Like 93 2 Dislike 5 3 Don't Care 10 Gender Male 20 2 Female 88 Descriptive Statistics Dependent Variable: Shy, Inhibited person Likes to Travel Gender Mean Std. Deviation N Like Male 2.50 1.033 16 Female 2.96 1.032 77 Tota 2.88 1.041 93 Dislike Male 2.50 707 2 Female 3.00 000 3 Total 2.80 447 5 Don't Care Male 3.00 1.414 2 Female 4.25 707 8 Total 4.00 943 10 Total Male 2.55 999 20 Female 3.08 1.053 88 Tota 2.98 1.059 108 Levene's Test of Equality of Error Variancesab Levene Statistic df1 df2 Sig. Shy, Inhibited person Based on Mean 2.019 5 102 082 Based on Median 2.008 102 .084 Based on Median and 2.008 5 96.860 .084 with adjusted df Based on trimmed mean 2.017 5 102 082 Tests the null hypothesis that the error variance of the dependent variable is equal across groups a. Dependent variable: Shy, Inhibited person b. Design: Intercept + travel1 d + gender4a + travel1d * gender4aTests of Between-Subjects Effects Dependent Variable: Shy, Inhibited person Type Ill Sum Partial Eta Source of Squares df Mean Square F Sig Squared Corrected Model 17.080 5 3.416 3.387 007 142 Intercept 216.220 216.220 214.364 <.001 travel1 d n gender4a error total corrected a. r squared=".142" estimated marginal means likes to travel dependent variable: shy inhibited person confidence interval mean std. lower bound upper like dislike don care .397 gender male female .251 .580 post hoc tests multiple comparisons tukey hsd difference j sig. .334 .32 ..08 .983 .11 .550 based on observed the term is square significant at .05 level.homogeneous subsets shy. tukeyhsda subset .933 for groups in homogeneous are displayed. means. errorterm uses harmonic sample size="9.654." b. group sizes unequal. ofthe used. type i levels not guaranteed. c. alpha=".05." profile plots of>Step by Step Solution
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