Date:         Wed, 17 Nov 2010 15:29:47 +0100
Reply-To:     Marta García-Granero <mgarciagranero@gmail.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Marta García-Granero <mgarciagranero@gmail.com>
Subject:      Re: Significant Chi sq but no group differences
In-Reply-To:  <E44517773E26CD41B3A1E5F34EEEE30901FCC7CC@llbbe1exch002.phbern.intra>
Content-Type: multipart/alternative;

Hi Tom:

Didn't you get my reply to your previous post concerning lack of
significant results using Bonferroni adjustment? Have you tried
"ADJUST=NONE" as I said?

Best regards,
Marta Garcia-Granero

El 17/11/2010 12:09, Balmer Thomas escribió:
>
> Hello
>
> Using a syntax from Marta GG, I made several comparisons that help me
> to decide, which "Gruppe" differ in the proportion of "Yes"
> significantly from each other. It seemed to me to working fine --
> until now with the data below.
>
> What I've done and suppose:
>
> I got a significant chi sq and an adjusted residual for the "Gruppe"
> 1-3 of 2 resp. 2.1 for 4-10, which tells me, I suppose, that in these
> two groups the proportion of "Yes" is significantly higher than
> overall. So, the following syntax should show me, if these two groups
> (or just one) have a significantly higher proportion of "Yes" compared
> two each of the other groups.
>
> What I do not understand:
>
> But, with these data, there is no significant difference in the
> proportion between the groups, contrary to what I expected, because
> according to my assumption the significant Chi sq means, that there
> follows at least one comparison that is significant.
>
> Thanks for any explanations.
>
> Tom
>
> *****Beurteilung Fremdsprachen*****.
>
> DATA LIST LIST/Gruppe Result Count(3 F8).
>
> BEGIN DATA
>
> 1 1 53
>
> 2 1 154
>
> 3 1 262
>
> 4 1 288
>
> 5 1 187
>
> 1 2 19
>
> 2 2 46
>
> 3 2 49
>
> 4 2 54
>
> 5 2 36
>
> 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.
>


--
For miscellaneous SPSS related statistical stuff, visit:
http://gjyp.nl/marta/


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