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From | Ángel Rodríguez Laso <angelrlaso@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Nested design problem |
Date | Fri, 16 Nov 2012 16:07:09 +0100 |
Hi Steven, Couldn't you build from the second table a measure of closeness for each individual? Depending on your theoretical framework, that could be total closeness scores, mean closeness across relationships or number of relationships over a threshold. Best regards, Angel Rodriguez-Laso 2012/11/15 Steven Raemaekers <s.raemaekers@sig.eu>: > Hello, > > I do not know where else to post this problem so I hope somebody can help me here. I have a statistical design issue which is as follows. > As an example, let's say I have a table with information on people in the following format: > > Id IQ Introvertness … > person1 120 80 … > person2 110 70 … > person3 130 40 … > > This table contains a number of properties of certain persons, each person is a unique entry in this table. I also have a table which contains relationships between those persons: > > Id1 Id2 Closeness > person1 person2 80 > person1 person3 70 > > "Closeness" is a property of the relationship between person1 and person2. The numbers do not make sense but are just for illustration. > > Now I want to test whether people that are in relationships "closer" to each other are more intelligent. I also possibly want to take into account other properties of people. > In regression terms: I want to regress the dependent variable IQ on the independent variable closeness and introvertness. How can I do this? > > The problem is, persons can appear multiple time in the list so applying normal linear regression or correlation on this table produces incorrect results. > Additionally, there are two sides to the relationship, so there is a connection between the IQ of person1, the closeness of their relationship and the IQ of person2. > I believe the thing I need is called a nested hierarchical model/mixed model, but I have no idea how to design this. > > My questions are therefore the following: > 1) What statistical test do I need to test my hypothesis on this data? > 2) What assumptions does this test make and how can I check these assumptions? > 3) How should I format my data? > 4) What are the commands in Stata to execute this test? > > Thanks very much! > > Regards, > > Steven Raemaekers > PhD student > Software Improvement Group/TU Delft > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/