| |
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|
|
Sum of Squares |
df |
Mean Square |
F |
Sig |
|
|
Between People |
76.867 |
19 |
4.046 |
|
|
|
|
Within People |
Between Items |
9.567 |
5 |
1.913 |
3.058 |
.013 |
|
Residual |
59.433 |
95 |
.626 |
|
|
|
|
Total |
69.000 |
100 |
.690 |
|
|
|
|
Total |
145.867 |
119 |
1.226 |
|
|
|
|
Grand Mean = 2.6333 |
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|
Intraclass Correlation Coefficient |
|||||||
|
|
Intraclass Correlationa |
95% Confidence Interval |
F Test with True Value 0 |
||||
|
Lower Bound |
Upper Bound |
Value |
df1 |
df2 |
Sig |
||
|
Single Measures |
.477b |
.290 |
.690 |
6.467 |
19 |
95 |
.000 |
|
Average Measures |
.845c |
.710 |
.930 |
6.467 |
19 |
95 |
.000 |
|
Two-way mixed effects model where people effects are random and measures effects are fixed. |
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|
a. Type C intraclass correlation coefficients using a consistency definition-the between-measure variance is excluded from the denominator variance. |
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|
b. The estimator is the same, whether the interaction effect is present or not. |
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|
c. This estimate is computed assuming the interaction effect is absent, because it is not estimable otherwise. |
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