Id female ses schtyp prog read write math science socst honors awards Let’s start with getting some descriptive statistics of the variables of interest. Ses, a three-level categorical variable and writing score, write, a continuous variable. The predictor variables are social economic status, Prog, program type, where program type 1 is general, type 2 is academic,Īnd type 3 is vocational. The data set contains variables on 200 students. Description of the dataįor our data analysis example, we will expand our third example with a Their writing score and their social economic status. Entering high school students make program choices among general program, Types of food, and the predictor variables might be size of the alligatorsĮxample 3. Adult alligators might haveĭifferent preferences from young ones. Interested in food choices that alligators make. The occupational choices will be the outcome variable which Relationship of one’s occupation choice with education level and father’s People’s occupational choices might be influencedīy their parents’ occupations and their own education level. Examples of multinomial logistic regressionĮxample 1. Particular, it does not cover data cleaning and checking, verification of assumptions, modelĭiagnostics and potential follow-up analyses. ![]() It does not cover all aspects of the research process which researchers are expected to do. ![]() Please note: The purpose of this page is to show how to use various data analysis commands. Outcome variables, in which the log odds of the outcomes are modeled as a linear Multinomial logistic regression is used to model nominal Version info: Code for this page was tested in Mplus version 6.12.
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