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Can you combine Likert scales?
Yes, you can. If the Likert scale is in interval or ratio scale you can create a new variable which can be some combination of the Likert scale data (e.g. sum or average etc.) Yes, you can.
How do I combine Likert scales in SPSS?
From the top menu bar in SPSS, select Transform -> Compute variable. You should now see the following dialogue box. Place the cursor in the brackets, select the variables you want to merge, and click on the arrow. Repeat with all the variables, separating them with comas.
How do you aggregate a Likert scale?
One way to aggregate Likert-type scales is to sum individuals’ values across questions and then divide by the number of questions you combined. You should run a principal components analysis first to find out whether questions load onto the same components. Questions loading onto the same components can be combined.
What statistical analysis do I use for a Likert scale?
A variety of options for analyzing Likert scale data exist including the chi square statistic. The chi square statistic compares survey respondents’ actual responses to questions with expected answers to assess the statistical significance of a given hypothesis.
What statistical test to use for Likert scale?
The chi-squared, Cochran’s Q test, or McNemar test are common statistical procedures used after this transformation. Non-parametric tests such as chi-squared test, Mann–Whitney test, Wilcoxon signed-rank test, or Kruskal–Wallis test. are often used in the analysis of Likert scale data.
What are the assumption for Likert type rating scales?
A Likert scale assumes that the strength/intensity of an attitude is linear , i.e. on a continuum from strongly agree to strongly disagree, and makes the assumption that attitudes can be measured. For example, each of the five (or seven) responses would have a numerical value which would be used to measure the attitude under investigation.
What are the advantages of using the Likert scale?
One of the main benefits of the Likert scale is that it provides a predictable and easily understood scale by which to evaluate products and services . For example, in the credit union industry, new products and services pop up frequently. Moreover, existing products and services change quickly with fluctuations in market rates and technology.