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I am analyzing data from different dichotomous variables. When analyzing association between these variables, what is the most recommended method?

Wendy Alfaro
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    There exist dozens of measures of association between dichotomous or binary variables. Note that in some situations binary (= "ordinal dichotomuus": present vs absent) should be treated differently than "nominal dichotomous" (eg male vs female) – ttnphns Jan 29 '13 at 09:36
  • @ttnphns: Could you please elaborate a little on ordinal dichotomous vs nominal dichotomous ? - sounds interesting. – Scortchi - Reinstate Monica Jan 29 '13 at 11:29
  • Agree with @ttnphns. I have mainly ordinal dichotomous in my study vs. some categorical variables. How can I find associations between dichotomous and categorical variables? – Wendy Alfaro Jan 29 '13 at 12:07
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    @Scortchi, at first glance all dichotomous attributes are formally the same. But if you compare logic behind some association indices, for example, Jaccard coefficient vs Russel-Rao coefficient, the difference becomes apparent. "Attribute X present vs attribute X absent" isn't quite the same as "Attribute X present vs alternative attribute Y present". – ttnphns Jan 29 '13 at 12:53
  • @ttnphns: Thanks v. much! I'll read up on those, & post a question here if I still can't see it. – Scortchi - Reinstate Monica Jan 29 '13 at 12:54
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    Of possible interest: Cross tabulation of two categorical variables: recommended techniques. If you can't give us more details on the purpose of the analysis and how data were collected, this question is no more than a duplicate. – chl Apr 29 '13 at 10:52

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