Univariate Analysis of Variance

Transcription

1 Univariate Analysis of Variance Output Created Comments Input Missing Value Handling Syntax Resources Notes Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Processor Time Elapsed Time 07-MAR :58:55 D:\Google Drive\ELEX_2016\CD\Bab 5\ sav DataSet1 <none> <none> <none> User-defined missing values are treated as missing. 36 Statistics are based on all cases with valid data for all variables in the model. UNIANOVA B Material Temperatur WITH X /CONTRAST(Material)=Simple(1) /CONTRAST(Temperatur)=Simple(1) /METHOD=SSTPE(3) /INTERCEPT=INCLUDE /PLOT=PROFILE(Temperatur*Material) /EMMEANS=TABLES(Material) WITH (X=MEAN) COMPARE ADJ(LSD) /EMMEANS=TABLES(Temperatur) WITH (X=MEAN) COMPARE ADJ(LSD) /EMMEANS=TABLES(Material*Temperatur) WITH(X=MEAN) /PRINT=PARAMETER HOMOGENEIT DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=X Material Temperatur Material*Temperatur. 00:00: :00:01.50 Between-Subjects Factors Material Temperatur Value Label N Material tipe 1 12 Material tipe 2 12 Material tipe Page 1

2 Descriptive Statistics Material Temperatur Mean Std. Deviation N Material tipe Material tipe Material tipe Levene's Test of Equality of Variances a F df1 df2 Sig Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Design: Intercept + X + Material + Temperatur + Material * Temperatur Page 2

3 Tests of Between-Subjects Effects Source Corrected Model Intercept X Material Temperatur Material * Temperatur Corrected Type III Sum of a a. R Squared =.774 (Adjusted R Squared =.696) Parameter Estimates 95% Confidence Interval Parameter B Std. t Sig. Intercept X [Material=1] [Material=2] [Material=3] 0 a..... [Temperatur=1] [Temperatur=2] [Temperatur=3] 0 a..... [Material=1] * [Temperatur=1] [Material=1] * [Temperatur=2] [Material=1] * [Temperatur=3] 0 a..... [Material=2] * [Temperatur=1] [Material=2] * [Temperatur=2] [Material=2] * [Temperatur=3] 0 a..... [Material=3] * [Temperatur=1] 0 a..... [Material=3] * [Temperatur=2] 0 a..... [Material=3] * [Temperatur=3] 0 a..... a. This parameter is set to zero because it is redundant. Page 3

4 Custom Hypothesis Tests Index 1 Coefficients (L' Matrix) Transformation Coefficients (M Matrix) Results (K Matrix) 2 Coefficients (L' Matrix) Transformation Coefficients (M Matrix) Results (K Matrix) Simple (reference category = 1) for Material Identity Matrix Zero Matrix Simple (reference category = 1) for Temperatur Identity Matrix Zero Matrix Custom Hypothesis Tests #1 Results (K Matrix) Material Simple a Level 2 vs. Level 1 Level 3 vs. Level 1 Estimate Hypothesized Value Difference (Estimate - Hypothesized) Std. Sig. Difference Estimate Hypothesized Value Difference (Estimate - Hypothesized) Std. Sig. Difference Dependent Variable a. Reference category = 1 Page 4

5 Test Results Source Sum of Custom Hypothesis Tests #2 Results (K Matrix) Temperatur Simple a Level 2 vs. Level 1 Level 3 vs. Level 1 Estimate Hypothesized Value Difference (Estimate - Hypothesized) Std. Sig. Difference Estimate Hypothesized Value Difference (Estimate - Hypothesized) Std. Sig. Difference Dependent Variable a. Reference category = 1 Test Results Source Sum of Estimated Marginal Means Page 5

6 1. Material Estimates 95% Confidence Interval Material Mean Std. Material tipe a Material tipe a Material tipe a a. Covariates appearing in the model are evaluated at the following values: X = (I) Material (J) Material Material tipe 1 Material tipe 2 Material tipe 3 Material tipe 2 Material tipe 1 Material tipe 3 Material tipe 3 Material tipe 1 Material tipe 2 Based on estimated marginal means *. The mean difference is significant at the.05 level. Pairwise Comparisons Mean Difference (I-J) Std. Sig. b Difference b * * * * b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Univariate Tests Sum of The F tests the effect of Material. This test is based on the linearly independent pairwise comparisons among the estimated marginal means. 2. Temperatur Page 6

7 Estimates 95% Confidence Interval Temperatur Mean Std a a a a. Covariates appearing in the model are evaluated at the following values: X = (I) Temperatur (J) Temperatur Based on estimated marginal means *. The mean difference is significant at the.05 level. Pairwise Comparisons Mean Difference (I-J) Std. Sig. b Difference b * * * * * * b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). Univariate Tests Sum of The F tests the effect of Temperatur. This test is based on the linearly independent pairwise comparisons among the estimated marginal means. Page 7

8 3. Material * Temperatur 95% Confidence Interval Material Temperatur Mean Std. Material tipe a a a Material tipe a a a Material tipe a a a a. Covariates appearing in the model are evaluated at the following values: X = Profile Plots Page 8

9 Estimated Marginal Means of 150 Material Material tipe 1 Material tipe 2 Material tipe 3 Estimated Marginal Means Temperatur Covariates appearing in the model are evaluated at the following values: X = Page 9