Information Technology Reference
In-Depth Information
Tests of Within-Subjects Effects
SS
B
Measure: MEASURE_1
Type III Sum
of Squares
Source
df
Mean Square
F
Sig.
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
COLOR
140.625
140.625
140.625
140.625
1
1.000
1.000
1.000
140.625
140.625
140.625
140.625
15.823
15.823
15.823
15.823
.004
.004
.004
.004
.027
.027
.027
.027
SS
A× B
COLOR * GENDER
65.025
65.025
65.025
65.025
1
1.000
1.000
1.000
65.025
65.025
65.025
65.025
8.888
8.888
8.888
8.888
7.316
7.316
7.316
7.316
SS
B× S/A
71.100
71.100
71.100
71.100
3.025
3.025
3.025
3.025
8
8.000
8.000
8.000
Error(COLOR)
SS
C
TOYTYPE
1
1.000
1.000
1.000
3.025
3.025
3.025
3.025
.355
.355
.355
.355
16.520
16.520
16.520
16.520
.568
.568
.568
.568
.004
.004
.004
.004
SS
A×C
140.625
140.625
140.625
140.625
1
1.000
1.000
1.000
140.625
140.625
140.625
140.625
TOYTYPE * GENDER
SS
C×S/A
Error(TOYTYPE)
68.100
68.100
68.100
68.100
5.625
5.625
5.625
5.625
8
8.000
8.000
8.000
8.513
8.513
8.513
8.513
SS
B×C
COLOR * TOYTYPE
1
1.000
1.000
1.000
5.625
5.625
5.625
5.625
.269
.269
.269
.269
.002
.002
.002
.002
1.411
1.411
1.411
1.411
20.370
20.370
20.370
20.370
SS
A×B×C
COLOR * TOYTYPE *
GENDER
81.225
81.225
81.225
81.225
81.225
81.225
81.225
81.225
1
1.000
1.000
1.000
SS
B×C×S/A
Error(COLOR * TOYTYPE)
31.900
31.900
31.900
31.900
8
8.000
8.000
8.000
3.988
3.988
3.988
3.988
Figure 15.14
The within-subjects summary table.
We present the between-subjects summary table in Figure 15.15. From
this table, we see that the main effect of gender is not statistically signifi-
cant.
15.6 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
