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This Table presents the unadjusted
p -value.
Differences of Least Squares Means
Standard
Error
gender
color
toytype
gender
color
toytype
Estimate
DF
t Value Pr
> t
Effect
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
gender color toytype
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
1
1
1
1
1
2
1
1
1
1
1
1
1
2
2
2
2
2
2
1
1
1
1
1
2
2
2
2
1
1
1
2
2
1
1
1
1
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
2
2
1
1
2
2
2
2
1
1
2
2
2
1
1
2
2
1
1
2
2
1
2
2
2
2
2
2
1
2
1
2
1
2
1
2
1
2
1
2
2
1
2
1
2
1
2
1
2
2
1
2
1
2
2
6.4000
4.2000
2.0000
1.6887
1.6887
1.6887
1.8042
1.8042
1.8042
1.8042
1.6887
1.6887
1.8042
1.8042
1.8042
1.8042
1.6887
1.8042
1.8042
1.8042
1.8042
1.8042
1.8042
1.8042
1.8042
1.6887
1.6887
1.6887
1.6887
1.6887
1.6887
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
3.79
2.49
1.18
0.0053
0.0377
0.2703
0.0089
0.7480
0.4601
0.3476
0.0002
0.0011
0.9145
0.0047
0.0242
0.0342
0.2289
0.0004
0.0811
0.0146
0.0105
0.0019
0.4601
0.0962
0.0683
0.0038
0.0217
0.0313
0.2703
0.1930
0.8187
6.2000
0.6000
3.44
0.33
1.4000
0.78
1.8000
10.6000
8.4000
0.2000
7.0000
5.0000
4.6000
− 2.2000
− 10.4000
− 3.6000
− 6.0000
− 6.0000
− 8.2000
− 1.4000
− 3.4000
− 3.8000
6.8000
4.8000
4.4000
− 2.0000
− 2.4000
− 0.4000
1.00
6.28
4.97
0.11
3.88
2.77
2.55
− 1.30
− 5.76
− 2.00
− 3.10
− 3.33
− 4.55
− 0.78
−1.88
− 2.11
4.03
2.84
2.61
−1.18
− 1.42
− 0.24
Figure 15.32
Uncorrected tests of significance between means.
this 7-second difference is statistically significant ( p
0047). However,
the corresponding SAS Bonferroni adjusted probability value shown in
Figure 15.33 ( p
= .
1309) is not statistically significant.
It is worthwhile noting that the SPSS output showed that its Bonferroni
adjusted probability value presented in Figure 15.21 ( p
= .
025) is statis-
tically significant. This discrepancy results from different algorithms used
in computing effects for repeated measures designs (see Section 10.19).
= .
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