Dit is een overzicht aan voorbeelden voor het interpreteren van de SPSS output van: 1 weg ANOVA, contrasten, 2 weg ANOVA, ANCOVA en herhaalde metingen.
Deze voorbeelden zijn gebaseerd op oude tentamens.
y
95% Confidence Interval for
Mean
N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum
1.00 30 5.5000 2.54274 .46424 4.5505 6.4495 2.00 9.00
4.00 10 7.3000 4.94526 1.56383 3.7624 10.8376 3.00 16.00
5.00 10 3.0000 2.78887 .88192 1.0050 4.9950 .00 6.00
Total 50 5.3600 3.41521 .48298 4.3894 6.3306 .00 16.00
*GROOTSTE N IS 3 KEER ZO GROOT ALS KLEINSTE N DUS ANOVA NIE ROBUUST SCHENDIG AANNAME GELIJKE
POPULATIEVARIANTIE
Test of Homogeneity of Variances
y
Levene
Statistic df1 df2 Sig.
5.630 2 47 .006
*SCHENDIG IS GESCHONDEN EN NIET ROBUUST DUS JE MAG ANOVA NIET INTERPRETEREN
ANOVA
y
Sum of
Squares df Mean Square F Sig.
Between Groups 93.920 2 46.960 4.621 .015
Within Groups 477.600 47 10.162
Total 571.520 49
*SIG NIET INTERPTRETEREN
Levene's Test of Equality of Error Variances a
Dependent Variable:cijfer
F df1 df2 Sig.
1.000 4 195 .457
Tests the null hypothesis that the error variance of the
dependent variable is equal across groups.
*GELIJKE POPUATIEVARIANTIE
a. Design: Intercept + text
, Tests of Between-Subjects Effects
Dependent Variable:cijfer
Type III Sum of
Source Squares Df Mean Square F Sig. Partial Eta Squared
a
Corrected Model 61.880 4 15.470 15.305 .000 .239
Intercept 6475.220 1 6475.220 6406.230 .000 .970
text 61.880 4 15.470 15.305 .000 .239
Error 197.100 195 1.011
Total 6734.200 200
Corrected Total 258.980 199
a. R Squared = .239 (Adjusted R Squared = .223)
*EFFECT VAN VAN TEKST OP CIJFER.
DF LAAT ZIEN DAT ANOVA ROBUUST IS SCHENDIG NORMAAL VERDEELDE ERROR
Custom Hypothesis Tests
Contrast Results (K Matrix)
Dependent
Variable
text Special Contrast Cijfer
L1 Contrast Estimate -.950
Hypothesized Value 0
Difference (Estimate - Hypothesized) -.950
Std. Error .711
Sig. .183
95% Confidence Interval for Lower Bound -2.352
Difference
Upper Bound .452
L2 Contrast Estimate 1.650
Hypothesized Value 0
Difference (Estimate - Hypothesized) 1.650
Std. Error .225
Sig. .000
95% Confidence Interval for Lower Bound 1.207
Difference Upper Bound 2.093
L3 Contrast Estimate -.500
Hypothesized Value 0
Difference (Estimate - Hypothesized) -.500
Std. Error .225
Sig. .027
95% Confidence Interval for Lower Bound -.943
Difference
Upper Bound -.057
*ALS GEPLANDE CONTRASTEN DAN ALFA/C
1E IS NIET SIGNIFICANT, 2E SIGNIFICANT, 3E NIET SIGNIFICANT
, Test Results
Dependent Variable:cijfer
Source Sum of Squares df Mean Square F Sig. Partial Eta Squared
Contrast 61.255 3 20.418 20.201 .000 .237
Error 197.100 195 1.011
*CONTRASTEN VERKLAREN SAMEN 61.255/61.88 VAN DE TOTALE GROEPVARIANTIE
Post Hoc Tests
text
Homogeneous Subsets
Cijfer
Tukey HSDa,,b
Subset
text N 1 2 3
negatief 40 4.850
controle 40 5.500
gelijk 40 5.550
inzet 40 6.050 6.050
positief 40 6.500
Sig. 1.000 .108 .269
Means for groups in homogeneous subsets are displayed.
Based on observed means.
The error term is Mean Square(Error) = 1.011.
a. Uses Harmonic Mean Sample Size = 40.000.
b. Alpha = .05.
*NEG LAGER DAN ANDERE GROEPEN. CONTROLE EN GELIJK LAGER DAN POSITIEF
2-weg ANOVA
1.ASSUMPTIES CHEKCEN
2.ANOVA INTERPRETEREN, IS ER EFFECT?
3.IS ER INTERACTIE?
4.WAAR ZIT DAT EFFECT?
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