Merging variables In the Variables pane, use Shift+click or Ctrl+click to select the variables that you want to merge. The default type for new variables is numeric. Remember that even categorical variables are coded numerically. Viewed 480 times 3. In theory, anyvariable can be used as a filter variable. If you are analysing your data using multiple regression and any of your independent variables were measured on a nominal or ordinal scale, you need to know how to create dummy variables and interpret their results. You can copy, paste, and execute the following syntax to generate this dataset in SPSS, or you can download the linked SPSS datafile below. We can find the new variable in the last column in Data View or in the last row of Variable View. the number of categories – 1) and include these new dummy variables in your regression model 3 If we go back to the ADHD example used at the start of this section, it implies that anyone whose mother, father, or biological sibling has been diagnosed with ADHD, is themselves considered to have a risk factor for ADHD. In the sample dataset, the variable Major is a string variable containing open-ended, write-in responses asking for the person's college major. The height (in inches) and weight (in pounds) of the respondents were observed; so to compute BMI, we want to plug those values into the formula, $$ \mathrm{BMI} = \frac{\mathrm{Weight}*703}{\mathrm{Height}^{2}} $$. Your final numeric expression should appear as. If the variables are not in sequential order, this method may not work correctly. In this example, let’s say we have some scores (out of 100) on different college subject tests. New string variables can now be referenced as emo(1), emo(2) and so on. 1 Choose Transform, Recode, Into Diﬀerent Variables. Answer. Figure 1.7.2: Crosstabulation for both Full-Time Education Aspiration variables. One of the best ways analysts can add value is by finding new ways to examine data. The image below shows you this along with an example of a Syntax window in operation. Do not put a period at the end of the expression you enter into the Numeric Expression box. Written and illustrated tutorials for the statistical software SPSS. If you've already verified the computation for AverageScore2, then you should be able to verify that AverageScore2 and AverageScore3 are identical. E.g. A little better. For example, you may want to: In this tutorial, we'll discuss how to compute variables in SPSS using numeric expressions, built-in functions, and conditional logic. Syntax to add variable labels, value labels, set variable types, and compute several recoded variables used in later tutorials. It is important that you know how to add and edit variables into your dataset. read data with the INPUT statement in a DATA step. This syntax (minus the VALUE LABELS line) can be generated automatically by following the dialog window steps above and clicking Paste instead of OK. Let's check that the ANY() function produced the results that we expected. Suppose we wanted to make a variable called length2 which has lengthsquared. Actually there are lots of different types of missing value to consider and sometimes you will want to include missing cases within your analysis (Extension B talks about missing data in more detail). Since the predictor variable is ordinal, I divided the variable into categories and defined the reference category as the last category. You do not need to worry about it but learning it in tandem with learning SPSS will really help your understanding so don’t ignore it! Syntax files can be saved and opened in the exact same way as any other file. If you look at the commands you can see where you could make quick and easy edits to alter the process: VARIABLE LABELS is where the name and label are defined for example. You can use this menu to add variables into a computation: either double-click on a variable to add it to the Numeric Expression field, or select the variable(s) that will be used in your computation and click the arrow to move them to the Numeric Expression text field (C). To alter an existing dataset of existing variables we can move on to show you how do. To combine two or more variables to form a new variable made of other variables already! 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