I am looking for a statistical method which measures the relationship between two variables which are based on different likert scales and are independent from each other.

The first variable is a score which represents the pro-environmental behavior (PEB) (Likert Scale A)

The second variable represents the pereceived persuasiveness towards selected game design elements (Likert Scale B)

My aim is to show a relationship between the pro-environmental behavior score and the perceived persuasiveness (e.g. - Do people with a higher PEB - score perceived certain game design elements differently?)

I was thinking about a simple pearson correlation?

Furthermore, I have age and education, which may influence the PEB - score as well (this I want to show in a second step - probably through a multiple regression analysis).

Thank you.

  • $\begingroup$ agree with spearman rho. other thing you could look at is ordinal regression (for your multiple regression analysis) $\endgroup$
    – seanv507
    Commented Mar 29, 2019 at 13:26

1 Answer 1


As you are using likert scales which are ordinal rather than continuous I'd suggest using a spearmans rho as it can be used on ordinal data unlike pearson correlation

  • $\begingroup$ Also if I took a mean based of the likert scales? $\endgroup$
    – mboeckle
    Commented Mar 29, 2019 at 10:41
  • $\begingroup$ Yes you shouldn't really be treating a Likert scale like a continuous one. A lot of researchers do. But it's not correct. It'd be like trying to get the mean of 1st, 2nd, 3rd, 4th place. It wouldn't make sense. $\endgroup$
    – A Soutter
    Commented Mar 29, 2019 at 11:09
  • $\begingroup$ Anything else I could possibly use appart from this? $\endgroup$
    – mboeckle
    Commented Mar 29, 2019 at 11:18
  • $\begingroup$ I mean a spearmans rho is as easy to do as a pearson's one and is interpreted in much the same way. $\endgroup$
    – A Soutter
    Commented Mar 29, 2019 at 11:33
  • $\begingroup$ Thank you, do I need to normalize it? $\endgroup$
    – mboeckle
    Commented Mar 29, 2019 at 11:41

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