![]() Running it the following way will only calculate the mean if any 4 of the 5 variables is observed. SPSS has an option for dealing with this situation. If only one or two variables are present, the mean may not be a reasonable estimate of the mean of all 5 variables. While this seems great at first, the researcher may wish to limit how many of the 5 variables need to be observed in order to calculate the mean. In the second method, if any of the variables is missing, it will still calculate the mean. In the first method, if any of the variables are missing, due to SPSS’s default of listwise deletion, Newvar will also be missing. There are two ways to do this in SPSS syntax. It allows you to add or average variables, while specifying how many are allowed to be missing.įor example, a very common situation is a researcher needs to average the values of the 5 variables on a scale, each of which is measured on the same Likert scale. SPSS has a nice little feature for adding and averaging variables with missing data that many people don’t know about.
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