![]() It’s not an easy program to learn, although IBM does have some great tutorials that will help you get the most out of the software. SPSS is a powerful tool with some great features to help companies gain a better insight and understanding of its data. Note that UNIANOVA does not print the parameter estimates by default, so you need to request them by clicking the Options button in the Univariate dialog and clicking the check box for 'Parameter estimates'. It’s called the dictionary in SPSS but is also known as the codebook. UNIANOVA will internally generate a set of indicator (dummy) variables for each factor, with the last category treated as the reference category. Categorical predictors can be entered as Fixed Factors continuous predictors, as Covariates. To create a new variable, simply replace this name with a new one, something that makes sense to you. Initially, variables have scary-looking names like 'VAR00001'. You can also find examples of syntax for creating sets of indicator (dummy) variables in Technote 1476169.Īlternatively, you can run a linear regression model in the UNIANOVA procedure (Analyze->General Linear Model->Univariate). Coding variables in SPSS: To set up these variables, open SPSS and click on the 'variable view' tab in the bottom left corner of the screen. The articles in question are: "Dichotomous Predictors in Linear Regression", "Polytomous Predictors in Linear Regression", "Interactions among Dichotomous Predictors in Regression", "Continuous by Categorical Interactions in Regression", and "Further Interactions with Categorical Variables in Regression". ![]() This process is explained in a set of articles on the following ftp site:Ĭlick the Articles link aand then click the links for catreg1.htm to catreg5.htm to download each of the articles. To include a k-level categorical predictor in the Regression procedure, you need to create a set of k-1 contrast variables and enter those in the model place of the categorical variable. ![]()
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