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HIERARCHICAL LINEAR MODELS FOR ELECTORAL …
HIERARCHICAL LINEAR MODELS FORELECTORAL research :A Worked Example in StataMarco R. SteenbergenDepartment of Political ScienceUniversity of Zurich2012 AbstractThese notes discuss a worked example of a HIERARCHICAL LINEAR model withextensive discussion about modeling decisions and interpretation. Note thatvariable names and stata commands appear in we are interested in evaluations of Barack Obama in 2008. We distinguishbetween two levels of analysis: the individual (level-1) and thestatein whichhe/she resides (level-2). Evaluations of Barack Obama are measured on a feelingthermometer (obamafeel), which we treat as a continuous outcome. Our primarylevel-1 predictor is the race of the respondent (1 =black; 0 = white). In addition,we consider partisanship (pid) and the individual s ideological distance to Obama(iddist) as predictors.
HIERARCHICAL LINEAR MODELS FOR ELECTORAL RESEARCH: A Worked Example in Stata Marco R. Steenbergen ... 0j can be interpreted as the mean evaluation of Obama in a state, whereas 00 is the grand mean (i.e., ... We estimate the model using Stata’s xtmixed command, using the …
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