Let’s start with getting some descriptive statistics of the Ses, a three-level categorical variable and writing score, write, aĬontinuous variable. The predictor variables are social economic status, The data set contains variables on 200 students.
Description of the dataįor our data analysis example, we will expand the third example using the Using their writing score and their social economic status. Program, vocational program and academic program. Entering high school students make program choices among general Types of food, and the predictor variables might be the length of the alligatorsĮxample 3. Adult alligators might haveĭifference preference than young ones. A biologist may be interested in food choices that alligators make. The occupational choices will be the outcome variable whichĮxample 2.
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.
In particular, it does not cover dataĬleaning and checking, verification of assumptions, model diagnostics and It does not cover all aspects of the research process
Please note: The purpose of this page is to show how to use variousĭata analysis commands. Variables, in which the log odds of the outcomes are modeled as a linear Multinomial logistic regression is used to model nominal outcome Version info: Code for this page was tested in SPSS 20.