Then conscientiousness and your dummy-coded variables as your independent variables. Go to Analyze, Regression, and then Linear. We are now going to perform a regression as usual. We should have two dummy-coded variables. Now, we can just highlight 2 -> 1, and then change the previous 2 to a 3. Re-add groups to the window on the right-hand side. Remove that we had before by clicking on it, and then clicking the highlighted arrow. Click on Transform and then Recode into Different Variables. To create the second, we repeat the process again. We should have our first dummy-coded variable. Then enter 0 for the value in the New Value side. So, click on All Other Values in the Old Value side. Now, we want everyone else to have a value of 0. Then, in the New Value side, enter 1 for the value. So, in the Old Value side, enter 2 for the value. Now, change the Name and the Label to Dum1, and click on Change.Īnd we’re going to want those in Group 2 to have a value of 1. Now, click on Groups, and then click on the highlighted arrow to move Groups to the empty window. To do so in SPSS, we should first click on Transform and then Recode into Different Variables. In this case, we will make a total of two new variables (3 groups – 1 = 2). To perform a dummy-coded regression, we first need to create a new variable for the number of groups we have minus one. The instructions below may be a little confusing if your data looks a little different. If your dataset looks differently, you should try to reformat it to resemble the picture above. The data should look something like this: In the dataset, we are investigating the relationships of three training groups and conscientiousness with sales.
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If you don’t have a dataset, you can download the example dataset here. To answer these questions, we can use SPSS to calculate a regression equation. Of course, there is more nuance to dummy-coded regression, but we will keep it simple. What is the relationship of a widget’s manufacturing process on its assessed quality while accounting for the machine operator’s tenure?.What is the relationship of people’s county of residence on their life satisfaction while accounting for their income?.What is the relationship of people’s training groups on their job performance while accounting for their job satisfaction?.This is where dummy coding can come into play, which can be used to answer the following questions and similar others:
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Believe it or not, a linear regression can also identify the differences between groups pretty well – as long as we know how to code our predictors correctly. As always, if you have any questions, please email me at typical type of regression is a linear regression, which identifies a linear relationship between predictor(s) and an outcome. This page is a brief lesson on how to perform a dummy-coded regression in SPSS. To do this, dummy-coded regression can help out. Typically, I tell students that the two primary categories of “basic” statistics is whether they (a) determine the relationship between things or (b) the differences between groups.
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