I'm happy to come across this issue of standardizing scales because I have a related problem. Pls, I need your suggestions.
In my case, I'm using PLS-SEM for my survey data analysis. I have one variable that is not latent.The variable has a single (proxy) amount in each questionnaire (range in all questionnaires: 30,000 to 400,00). It is in ratio scale. All other variables are on 5-point Likert scale.
Pls refer me to the process and justification for converting the ratio data to interval scale (5-point).
Thank you
If the Likert-type questions are formulated symmetrically [- -/-/0/+/+ +] they can be treated as quasi-metric (which is in most cases the aim of Likert-type questions). In this case also the steps are equidistant.
I would have a look at the distribution of the metric variable. If there are no obvious density-peaks close to the 4 breaks recoding into 5 equally wide intervals should be a reasonable way.
Hi, Sulaiman,
The strongest rationale for converting interval/ratio data into ordinal data is that the interval/ratio data is highly skewed. I do not use PLS-SEM, but most statistical applications seem to allow the use of interval/ratio data and ordinal data at the same time. If the skew is less than +/- 2.5, I would avoid the conversion.
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