Chi-Square and Bonferroni

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Tom
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Chi-Square and Bonferroni

Tom

 

Hello

 

Marta GG helped me a lot with the syntax to perform a Bonferroni adjusted comparison (see below) of the five groups.

 

It works fine, but with these datas I got a result, which I can’t explain at all: With a highly significant Chisquare there seems to be no significant differences between the groups!? Part of my problem ist, honestly, that I do not really understand what CTABLES with Bonferroni adjustment does.

 

Thanks for any hint!

Tom

 

 

 

DATA LIST LIST/Gruppe Result Count(3 F8).

BEGIN DATA

1          1          48

2          1          142

3          1          249

4          1          278

5          1          168

1          2          24

2          2          58

3          2          62

4          2          64

5          2          55

END DATA.

WEIGHT BY Count .

VALUE LABELs Result 1'No' 2 'Yes'.

VALUE LABELs Gruppe 1'1-3' 2'4-10' 3'11-20' 4'21-30' 5'31-40'.

* A) Using CTABLES with Bonferroni adjustment *.

CTABLES

  /VLABELS VARIABLES=Gruppe Result DISPLAY=DEFAULT

  /TABLE Result [COUNT F40.0, COLPCT.COUNT PCT40.1] BY Gruppe

  /SLABELS POSITION=ROW

  /CATEGORIES VARIABLES=Gruppe Result ORDER=A KEY=VALUE EMPTY=INCLUDE

  /COMPARETEST TYPE=PROP ALPHA=0.05 ADJUST=BONFERRONI ORIGIN=COLUMN

  INCLUDEMRSETS=YES CATEGORIES=ALLVISIBLE.

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Automatic reply: Chi-Square and Bonferroni

<Joanne Tse>

Hi,

 

Due to Veteran's Day, our office is closed.  I will reply to your email on Monday, 11/15/10.

 

Thank you.

 

Joanne Han

Marketing Research Manager

UCLA Extension

www.uclaextension.edu

 

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Re: Chi-Square and Bonferroni

Marta Garcia-Granero
In reply to this post by Tom
Sorry for the delay (kinda hectic days...)

Bonferroni adjustment can be too conservative if the number of groups compared is high (in your case, with 5 groups you have 10 pairwise comparisons). Since Marascuilo procedure is even more conservative (Scheffee like) it will not give better results than CTABLES with Bonferroni...

Try ADJUST=NONE instead of ADJUST=BONFERRONI.

I tried with your data and it gives A&B different from C&D. Unfortunately, group E is stuck right in the middle (not significantly different from neither A&B nor C&D).

HTH (somehow),
Marta GG


El 12/11/2010 11:54, Balmer Thomas escribió:

DATA LIST LIST/Gruppe Result Count(3 F8).

BEGIN DATA

1          1          48

2          1          142

3          1          249

4          1          278

5          1          168

1          2          24

2          2          58

3          2          62

4          2          64

5          2          55

END DATA.

WEIGHT BY Count .

VALUE LABELs Result 1'No' 2 'Yes'.

VALUE LABELs Gruppe 1'1-3' 2'4-10' 3'11-20' 4'21-30' 5'31-40'.

* A) Using CTABLES with Bonferroni adjustment *.

CTABLES

  /VLABELS VARIABLES=Gruppe Result DISPLAY=DEFAULT

  /TABLE Result [COUNT F40.0, COLPCT.COUNT PCT40.1] BY Gruppe

  /SLABELS POSITION=ROW

  /CATEGORIES VARIABLES=Gruppe Result ORDER=A KEY=VALUE EMPTY=INCLUDE

  /COMPARETEST TYPE=PROP ALPHA=0.05 ADJUST=BONFERRONI ORIGIN=COLUMN

  INCLUDEMRSETS=YES CATEGORIES=ALLVISIBLE.



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