Hi All,
I need help of calculating Sig T in Custom Tables.
I have a categorical variable with 10 categories and I want to calculate the Sig T of these categories with All Total of these. Is it possible to do so in SPSS CTABLES, if yes please suggest.
I have done the same in the below tables but it is not calculating problem. What algorithm SPSS use to calculate the Sig T.
I want to calculate the SiG T between Total Online and brand-1 to brand-4
|
|
Beauty
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|
brand-1
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brand-2
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brand-3
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brand-4
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Total Online
|
brand-5
|
brand-6
|
brand-7
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Total Offline
|
Total Category (Total Online + Total Offline)
|
|
Look and feel of the website/app : Q4X1_1: Q4 Again, thinking about when you shopped at < sGRIDYRET> for <sGRIDYCAT> , how satisfied
were you with the following attributes. Please use a scale from 0 to 10, where 0 is ‘Extremely dissatisfied’ an
|
Answering Base
|
Count
|
147
|
128
|
113
|
117
|
505
|
0
|
0
|
0
|
0
|
505
|
|
Top 3
|
Count
|
107
|
109
|
83
|
77
|
376
|
0
|
0
|
0
|
0
|
376
|
|
Column N %
|
72.8%
|
85.8%
|
72.8%
|
65.6%
|
74.4%
|
0.0%
|
0.0%
|
0.0%
|
0.0%
|
74.4%
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|
Rest
|
Count
|
40
|
18
|
31
|
40
|
129
|
0
|
0
|
0
|
0
|
129
|
|
Column N %
|
27.2%
|
14.2%
|
27.2%
|
34.4%
|
25.6%
|
0.0%
|
0.0%
|
0.0%
|
0.0%
|
25.6%
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
Comparisons of Column Proportionsc,d,e
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|
|
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Beauty
|
|
|
brand-1
|
brand-2
|
brand-3
|
brand-4
|
Total Online
|
brand-5
|
brand-6
|
brand-7
|
Total Offline
|
Total Category (Total Online + Total Offline)
|
|
|
(A)
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(B)
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(C)
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(D)
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(E)
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(F)
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(G)
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(H)
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(I)
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(J)
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|
|
Look and feel of the website/app : Q4X1_1: Q4 Again, thinking about when you shopped at < sGRIDYRET> for <sGRIDYCAT> , how satisfied
were you with the following attributes. Please use a scale from 0 to 10, where 0 is ‘Extremely dissatisfied’ an
|
Top 3
|
|
D E J
|
|
|
|
.a,b
|
.a,b
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.a,b
|
.a,b
|
|
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Rest
|
|
|
|
B
|
B
|
.a,b
|
.a,b
|
.a,b
|
.a,b
|
B
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|
Results are based on two-sided tests with significance level .05. For each significant pair, the key of the category with the smaller column
proportion appears under the category with the larger column proportion.
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a. This category is not used in comparisons because the sum of case weights is less than two.
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b. This category is not used in comparisons because its column proportion is equal to zero or one.
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c. Tests are adjusted for all pairwise comparisons within a row of each innermost subtable using the Bonferroni correction.
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d. Cell counts of some categories are not integers. They were rounded to the nearest integers before performing column proportions tests.
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e. Comparisons are not performed for some pairs where compared categories of a multiple response set contain identical sets of observations.
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Regards
Manoj
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