![]() ![]() We will start by showing the SPSS commands to open the data file, creating Model with the main effects of read and female, as well as the ![]() Logistic regression honcomp with read female read by female. Variable in the logistic regression, as shown below. Subcommand to tell SPSS to create the dummy variables necessary to include the Have a categorical variable with more than two levels, for example, a three-level ses variable (low, medium and high), you can use the Variables (both continuous and categorical) that you want included in the model. Use the keyword with after the dependent variable to indicate all of the ![]() We do not advocate making dichotomous variables out ofĬontinuous variables rather, we do this here only for purposes of this Variable to use as our dependent variable, we will create one (which we willĬall honcomp, for honors composition) based on the continuous variable Non-missing values for the dependent as well as all independent variables willīecause we do not have a suitable dichotomous That you need to end the command with a period. In quotes, you need to specify where the data file is located In the syntax below, the get file command is used to load the hsb2 data The variable female is a dichotomous variable coded 1 if the student was Scores on various tests, including science, math, reading and social studies ( socst). These data were collected on 200 high schools students and are This page shows an example of logistic regression with footnotes explaining the ![]()
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