![]() ![]() 1 SPSS screenshot showing responses to Likert-type items Your starting point for summarising Likert scale data with SPSS will be a dataset similar to the one shown in Figure 1, below.įig. Here’s how to merge the Likert items Starting out I will also assume that you have already established that your scale is internally consistent, so I will focus only on the technical aspects of merging the variables. 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). This post will give you some advice about using SPSS to summarise data that were generated with a Likert scale. ![]()
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