![]() ![]() For installing it, navigate toĮ xtensions Install local extension bundle as shown below. Next, click SPSS_TUTORIALS_DUMMIFY.spe in order to download our tool. Also, the SPSS Python 3 essentials must be installed (usually the case with recent SPSS versions). Our tool requires SPSS version 24 or higher. We encourage you to download and open this data file in SPSS and replicate the examples we'll present. Both variables are in staff.sav, partly shown below. We'll demonstrate our tool on 2 examples: a numeric and a string variable. Example II - Categorical String Variable.Example I - Numeric Categorical Variable.This tutorial offers a simple tool for creating them. They must be split up into dichotomous variables known as “dummy variables”. Categorical variables can't readily be used as predictors in multiple regression analysis.
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