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Re: new option in crosstabs- comparing column proportions

Posted by Kornbrot, Diana on Sep 09, 2011; 7:41am
URL: http://spssx-discussion.165.s1.nabble.com/new-option-in-crosstabs-comparing-column-proportions-tp4784073p4785383.html

This is an old fashioned and counterproductive format
Many people will want the numbers directly into spreadsheet. Its  a pain to remove subscripts
So a SEPARATE column for the subscripts a, b et would be a very useful option.
This problem also occurs in CORRELATION, where, sensibly there is option NOT to include superscripts for significance.
So strong recommendation, options:
Option a. Numbers should be numbers ONLY. Footnote subscripts and superscripts should have column to themselves.
Option b. Current ghastly format,  [still liked by some journals] so many will want to copy the SPSS tables direct into word-processor.
Best
Diana
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From: Martin Sherman <[hidden email]>
Reply-To: Martin Sherman <[hidden email]>
Date: Thu, 8 Sep 2011 22:21:07 +0100
To: "[hidden email]" <[hidden email]>
Subject: new option in crosstabs- comparing column proportions

Dear list:  Below is a crosstabs output and includes subscript letters which is new

Feature in spss. Compare column proportions which is presented in the Cell Display tab.

 If I look at Column Y 1 and read down the percent we have 62.5% and 37.5% and then for Column

Y 2 we have 25% and 75% but the subscripts for Column 1 Y are all a’s and for Column 2 Y the

Subscripts are all b’s. So does this mean that 62.5% is sign.  Different from 25.0% and that 37.5%

Is sign. Different from 75%.  ??

x * y Crosstabulation

 

y

Total

1.00

2.00

x

1.00

Count

50a

10b

60

% within x

83.3%

16.7%

100.0%

% within y

62.5%

25.0%

50.0%

2.00

Count

30a

30b

60

% within x

50.0%

50.0%

100.0%

% within y

37.5%

75.0%

50.0%

Total

Count

80

40

120

% within x

66.7%

33.3%

100.0%

% within y

100.0%

100.0%

100.0%

Each subscript letter denotes a subset of y categories whose column proportions do not differ significantly from each other at the .05 level.

 

 

 

Martin F. Sherman, Ph.D.

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