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Date:         Wed, 2 Mar 2005 09:46:43 +0100
Reply-To:     Spousta Jan <JSpousta@CSAS.CZ>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Spousta Jan <JSpousta@CSAS.CZ>
Subject:      Re: ics
Comments: To: Anton.Balabanov@fup.unn.ru
Content-Type: text/plain; charset="koi8-r"

Hi Anton,

Just trying to think a bit further:

"Is it possible to affirm that there are greater differences at certain questions between generations than within ones?"

"Differences" in beliefs - is it perhaps a measure of unanimity (or of its opposite, diversity of views)? If yes, then the simple row percent will work as the measure of homogemeity in a category - see how near is it to 1/2 = complete diversity.

And you can construct the confidence intervals of the percentages in a standard manner.

Or, if you will be more scientific, study entropy of the responses or conditional probabilities p(they agree | they are from the same generation) vs. p(they agree | they are from different generations). But I doubt whether this is worth studying in such a simple case.

HTH

Jan

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU]On Behalf Of Anton Balabanov Sent: Tuesday, March 01, 2005 3:02 PM To: SPSSX-L@LISTSERV.UGA.EDU Subject: ics

Dear Listers,

my question is rather statistical one (if it does make sense itself :).

My father doing a sociological survey trying to assess knowledge and opinions of three generations of Russian people regarding World War II and, in particular, Great Patriotic War of Soviet people.

For some questions from the questionnaire it make sense to construct contingency tables like this: Sons Yes 50 Fathers Yes 60 Grandpas Yes 95 Sons No 33 Fathers No 55 Grandpas No 40

Father has asked me to help with a) whether the generations and answers are statistically independent and b) is it possible to affirm that there are greater differences at curtain questions between generations than within ones.

Regarding a) SPSS provides enough measures in CROSSTABS to answer; But I am in complete stupor with b). Is there any metric to estimate "total heterogeneity" of contingency table and than "heterogeneity due to rows" and "due to columns"?

Kind regards, Anton Balabanov Assistant of the Dept. of Applied Statistics University of Nizhny Novgorod, Russia


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