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Generalizing sem in Stata

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  • Jeff Pitblado

    ()
    (StataCorp LP)

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    Abstract

    Introducing generalized SEM: (1) SEM with generalized linear response variables, and (2) SEM with multilevel mixed effects, whether linear or generalized linear. Generalized linear response variables mean you can now fit probit, logit, Poisson, multinomial logistic, ordered logit, ordered probit, and other models. They also mean measurements can be continuous, binary, count, categorical, and ordered. Multilevel mixed effects mean you can place latent variables at different levels of the data. You can fit models with fixed or random intercepts and fixed or random slopes. I will present examples using both command syntax and the SEM Builder.

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    File URL: http://repec.org/norl13/pitblado.pdf
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    Bibliographic Info

    Paper provided by Stata Users Group in its series 2013 Stata Conference with number 22.

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    Date of creation: 01 Aug 2013
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    Handle: RePEc:boc:norl13:22

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    Web page: http://stata.com/meeting/new-orleans13/
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