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From |
Jurijs Ņikišins <jurijs.nikisins@lu.lv> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: How to interpret results from gllamm |

Date |
Tue, 06 Nov 2012 20:59:43 +0200 |

Thank you, Stas. Let me just ask again to be sure: are var(1) and var(2) intercepts and slopes only for the variable I treat as varying at level 2 (that is, new_demhist in my case)? Do I understand you right? On Tue 06/11/12 20:33 , Stas Kolenikov <skolenik@gmail.com> wrote: > The parameters var(1) and var(2) are your random intercepts and> slopes. The individual level coefficients have the same> interpretation> as they would in a regular logistic regression: an increase of the> explanatory variable by 1 causes the linear prediction shift by {the> value of the regression coefficient}, and the change in probability> depends on the particular constellation of variables quantifiable> via> marginal effects (and -gllamm- may not work very well with -margins-> that otherwise provides a great interface to describe and visualize> these marginal effects).> -- > -- Stas Kolenikov, PhD, PStat (SSC) :: http://stas.kolenikov.name> -- Senior Survey Statistician, Abt SRBI :: work email kolenikovs> at> srbi dot com> -- Opinions stated in this email are mine only, and do not reflect> the> position of my employer> On Tue, Nov 6, 2012 at 12:01 PM, Jurijs Ņikišins wrote:> > Hello,> > I'm a newcomer to both Stata and multilevel analysis and I have> some! general understanding of theory but implementing it in practice> is a real challenge for me so far, so I'd be really grateful for help> on interpreting results I get from gllamm.> > Using the European Social Survey 25-country dataset, I'm studying> the relationship between dichotomous outcome variable> demonstration_rec (whether a person took part in a demonstration last> year)> > and the following independent vars: gender, education, index of> attitudes to gender, cultural and income equality (resp. geq_mean,> ceq_mean, ieq_mean) and 4-rank democratic history variable> new_demhist denoting period that a country has been a stable> democracy.> > I treat new_demhist as a country-level variable, allowing it to> vary at a country level (i.e. trying to build a random-coefficient> model):> >> > gllamm demonstration_rec Gender_rec Education_rec geq_mean> ceq_mean ieq_mean i.new_demhist, family(binomial) link(logit)> i(country_rec) nrf(2) eqs(cntry_cons cntry_democr) nip(8)> > i.n! ew_demhist _Inew_demhi_1-4 (naturally coded;> _Inew_demhi_1 om itted)> >> ---------------------------------------------------------------------------> --------> demonstration_rec | Coef. Std. Err. z > P>|z| [95% Conf. Interval]> >> ------------------+--------------------------------------------------------> --------> Gender_rec | .1956246 .0404499 4.84 > 0.000 .1163443 .2749049> > Education_rec | .2037315 .0162273 12.55 0.000 > .1719265 .2355365> > geq_mean | .2762476 .0232011 11.91 0.000> .2307744 .3217209> > ceq_mean | .1077089 .0102165 10.54 > 0.000 .0876849 .1277329> > ieq_mean | .3145431 .0246306 12.77 > 0.000 .2662681 .3628181> > _Inew_demhi_2 | -.4142843 .1031448 -4.02 0.000 > -.6164443 -.2121243> > _Inew_demhi_3 | .7189537 .0954098 7.54 0.000 > .5319539 .9059535> > _Inew_demhi_4 | -.0171796 .0929596! -0.18 0.853 > -.199377 .1650178> > _cons | -5.994235 .1476284 -40.60 > 0.000 -6.283581 -5.704889> >> ---------------------------------------------------------------------------> --------> Variances and covariances of random effects> >> ---------------------------------------------------------------------------> ---> ***level 2 (country_rec)> > var(1): .20405822 (.10364398)> > cov(2,1): .00757171 (.01157615) cor(2,1): .03609139> > var(2): .21568821 (.02322925)> >> ---------------------------------------------------------------------------> ---> My questions are:> >> > 1) How actually should I interpret var(1) and var(2)? Are they> individual- and country-level variance, or variances of intercept and> slope?> > 2) How do I interpret individual-level coefficients together with> level 2 variances and covariances?> >> > Thanks a lot in advance,> >> > Jurijs Nikisins> > Sociology PhD student, University of Latvia> >>! > *> > * For searches and help try:> > * http://www.stata.com/hel p.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/> > * * 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/

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