Information Technology Reference
In-Depth Information
The equal variances
assumptions are not
violated; probabilities
(Sigs.) are > .05.
Levene's Test of Equality of Error Variances
a
F
df1
df2
Sig.
emotional attraction
physical attraction
.222
3
16
.880
.756
3
16
.535
Tests the null hypothesis that the error variance of the dependent
variable is equal across groups.
a.
Design: Intercept + age + gender + age * gender
Within Subjects Design: attract
Figure 14.13
Results of Levene's sphericity test.
We present the between-subjects summary table in Figure 14.15.
From this table, we see that both main effects were statistically signifi-
cant. However, the three-way interaction supercedes these effects, and we
may now proceed to our simple effects analyses of the three-way interac-
tion.
14.7 PERFORMING THE POST-ANOVA ANALYSIS IN SPSS
Configure the analysis as you did for the omnibus ANOVA except that now
in the
Options
dialog window we will click over the three-way interaction
Tests of Within-Subjects Effects
SS
C
Measure: MEASURE_1
Type III Sum
of Squares
Source
df
Mean Square
F
Sig.
ATTRACT
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
16.900
16.900
16.900
16.900
1
1.000
1.000
1.000
16.900
16.900
16.900
16.900
54.080
54.080
54.080
54.080
.000
.000
.000
.000
SS
A×C
ATTRACT * AGE
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
1.000E-01
1.000E-01
1.000E-01
1.000E-01
1
1.000
1.000
1.000
1.000E-01
1.000E-01
1.000E-01
1.000E-01
.320
.320
.320
.320
.579
.579
.579
.579
SS
B
×
C
ATTRACT * GENDER
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
4.900
4.900
4.900
4.900
1
1.000
1.000
1.000
4.900
4.900
4.900
4.900
15.680
15.680
15.680
15.680
.001
.001
.001
.001
SS
A×B×C
ATTRACT * AGE *
GENDER
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
8.100
8.100
8.100
8.100
1
1.000
1.000
1.000
8.100
8.100
8.100
8.100
25.920
25.920
25.920
25.920
.000
.000
.000
.000
SS
C×S/AB
Error(ATTRACT)
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
5.000
5.000
5.000
5.000
16
16.000
16.000
16.000
.313
.313
.313
.313
Figure 14.14
The within-subjects summary table.
