anova output
TRANSCRIPT
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8/2/2019 Anova Output
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SPSS Help 1
Test of Interaction Effect
Ho: There is no interaction between the Hemisphere effect and lesion size
Ha: There is a significant interaction between Hemisphere effect and lesion size
p-value: 0.281
Test statistic and value: 1.305
Test of Hemisphere Effect
Ho: There is no significant difference in unawareness score between the sides of hemisphere effect
Ha: There is significant difference in unawareness score between the sides of hemisphere effect
p-value: 0.421
Test statistic and value: 0.659
Test of Lesion Size
Ho: There is no significant difference in unawareness score between lesion sizes
Ha: is significant difference in unawareness score between lesion sizes
p-value: 0.014
Test statistic and value:4.662
UNIANOVA Unawareness_score BY Hemisphere Lesion_size /METHOD=SSTYPE(3)
/INTERCEPT=INCLUDE /CRITERIA=ALPHA(0.05) /DESIGN=Hemisphere Lesion_sizeHemisphere*Lesion_size.
Univariate Analysis of Variance
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8/2/2019 Anova Output
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SPSS Help 2
Notes
Output Created 22-Mar-2012 12:43:53
Comments
Input Active Dataset DataSet0
Filter
Weight
Split File
N of Rows in Working Data File 54
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for
all variables in the model.
Syntax UNIANOVA Unawareness_score BY Hemisphere
Lesion_size
/METHOD=SSTYPE(3)
/INTERCEPT=INCLUDE
/CRITERIA=ALPHA(0.05)
/DESIGN=Hemisphere Lesion_size
Hemisphere*Lesion_size.
Resources Processor Time 0:00:00.015
Elapsed Time 0:00:00.029
[DataSet0]
Between-Subjects Factors
N
Hemisphere 1 19
2 35
Lesion_size 2 23
3 14
4 17
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8/2/2019 Anova Output
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SPSS Help 4
Notes
Output Created 22-Mar-2012 14:16:40
Comments
Input Active Dataset DataSet0
Filter
Weight
Split File
N of Rows in Working Data File 54
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for
all variables in the model.
Syntax UNIANOVA Unawareness_score BY Hemisphere
Lesion_size
/METHOD=SSTYPE(3)
/INTERCEPT=INCLUDE
/POSTHOC=Lesion_size(TUKEY)
/PRINT=ETASQ DESCRIPTIVE
/CRITERIA=ALPHA(.05)
/DESIGN=Hemisphere Lesion_size
Hemisphere*Lesion_size.
Resources Processor Time 0:00:00.046
Elapsed Time 0:00:00.067
[DataSet0]
Between-Subjects Factors
N
Hemisphere 1 19
2 35
Lesion_size 2 23
3 14
4 17
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SPSS Help 5
Descriptive Statistics
Dependent Variable:Unawareness_score
Hemisphe
re
Lesion_siz
e Mean Std. Deviation N
1 2 10.11 1.453 9
3 10.20 1.789 5
4 13.00 1.225 5
Total 10.89 1.912 19
2 2 9.93 1.542 14
3 10.78 1.641 9
4 11.17 3.099 12
Total 10.57 2.227 35
Total 2 10.00 1.477 23
3 10.57 1.651 14
4 11.71 2.779 17
Total 10.69 2.109 54
Tests of Between-Subjects Effects
Dependent Variable:Unawareness_score
Source Type III Sum of Squares df Mean Square F Sig.
Part
Squ
Corrected Model 41.808a 5 8.362 2.071 .085
Intercept 5468.542 1 5468.542 1354.160 .000
Hemisphere 2.662 1 2.662 .659 .421
Lesion_size 37.651 2 18.826 4.662 .014
Hemisphere * Lesion_size 10.540 2 5.270 1.305 .281
Error 193.840 48 4.038
Total 6401.000 54
Corrected Total 235.648 53
a. R Squared = .177 (Adjusted R Squared = .092)
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SPSS Help 6
Post Hoc Tests
Lesion_size
Multiple Comparisons
Unawareness_score
Tukey HSD
(I)
Lesion_siz
e
(J)
Lesion_siz
e Mean Difference (I-J) Std. Error Sig.
95% Confidence Interval
Lower Bound Upper Bound
2 3 -.57 .681 .681 -2.22 1.08
4 -1.71* .643 .028 -3.26 -.15
3 2 .57 .681 .681 -1.08 2.22
4 -1.13 .725 .271 -2.89 .62
4 2 1.71* .643 .028 .15 3.26
3 1.13 .725 .271 -.62 2.89
Based on observed means.
The error term is Mean Square(Error) = 4.038.
*. The mean difference is significant at the .05 level.
Homogeneous Subsets
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SPSS Help 7
Unawareness_score
Tukey HSDa,,b,,c
Lesion_siz
e N
Subset
1 2
2 23 10.00
3 14 10.57 10.57
4 17 11.71
Sig. .683 .231
Means for groups in homogeneous subsets are displayed.
Based on observed means.
The error term is Mean Square(Error) = 4.038.
a. Uses Harmonic Mean Sample Size = 17.268.
b. The group sizes are unequal. The harmonic mean of the
group sizes is used. Type I error levels are not guaranteed.
c. Alpha = .05.