#Spss code examples how to
I assume that you will already know how to define variables and values, how to toggle between the numerical expression and verbal descriptor of the values (i.e., you can make SPSS show responses as “strongly agree/agree/disagree/strongly disagree” or as “1/2/3/4”), and how to key in data. Using the same example as above, I need to create a new ‘super-variable’, which shows the mean of items (1), (2) and (3) for each respondent. The same steps can be modified to add up the data. In this post, I will show you how to estimate the median, because this is slightly harder. We can do this in two ways: adding the data or estimating the median. In order to interpret these data, we need to summarise the data in the scale. For instance, if I want to measure people’s attitudes towards sweets, I might ask them to record what they think about the following statements: 1.
If you want to read up on Likert scales before you go on, you can find some information in this post.īefore we start Why should you summarise Likert scale dataĮlsewhere in this blog, I have written that a Likert scale might consist of several items that measure a similar underlying construct (a latent variable). If you could send the syntax for these steps I'm confident I could get it working.This post will give you some advice about using SPSS to summarise data that were generated with a Likert scale. I gave both of these a try, but wasn't able to get either working from the descriptions alone. If you really can't make it work, I can see if I can find my syntax and perhaps send it by email, ok? I didn't find it too hard but it was nice and fast because it doesn't require a lot of data passes. You can no even run a histogram over them. this dataset, the statistics thus created become cases rather than variables. now a single DESCRIPTIVES table summarizes the resultsĪlternatively, you can create results with AGGREGATE as a dataset. for each random variable, copy your outcome variable if (RANK N), make sure the copy is $SYSMIS I recently developed a non Python solution for this that may work (much) better:
import spss for sample in range(1,11): spss.Submit(''' filter by rs%d.
recode rs1 to rs10 (lo thru 20 = 1)(else = 0). Convert rank variables into filter variables. SPSS Repeated Sampling with Python Syntax Running it requires the SPSS Python Essentials to be properly installed. The right way for doing so is with Python as shown in the syntax below. Simulation studies usually require looping over SPSS procedures, which are basically commands that inspect all cases in our dataset. We presented such simulations for explaining the basic idea behind ANOVA and the chi-square test. Repeated random sampling is the basis for most simulation studies. As shown below, the strikethrough in data view as well as the status bar tell us that a filter is actually in effect. This leaves all our cases -including a variable that indicates our sample- nicely intact in our data. This third examples uses FILTER instead of deleting unsampled cases with SELECT IF. Recode rank variable into filter variable.