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<blockquote type="cite" cite="mid:Pine.GSO.4.44.0202190722360.26674-100000@auk.stats">
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<pre wrap="">P.S.<br>One nice example for this and something more is the configurational approach from C.Ragin<br><a class="moz-txt-link-freetext" href="http://www.nwu.edu/sociology/tools/qca/qca.html">http://www.nwu.edu/sociology/tools/qca/qca.html</a> ,but i fight with the complexity of my data<br>and the speed of the contibuted software in TCL/TK and would attempt to implement this in R !<br></pre>
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<pre wrap=""><!----><br>Does any expert statistician recommend that approach?</pre>
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Sorry only me and the author, but i think it is an nice alternative to see
cases as configurations to classic descriptives,<br>
but i mean not that classic methods are bad !<br>
<br>
easy Example: <br>
4 independent variables and one dependend which have only the state true
and false !<br>
men , age > 40, catholic , income > 30000€ and the depedend variable
"elect labor party" <br>
<br>
...so you have not 4 independend variables - in this approach you have got
16 configurations which<br>
are different to the outcome . Further you define benchmarks for analyze
neccessary & sucessfully <br>
conditions and test the signficance ! <br>
<br>
A way further Ragin execute how it is possible to work with fuzzy-sets
instead of crisp-sets, too !<br>
<br>
regards,<br>
christian schulz<br>
<br>
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