Dear All,
I am receiving confusing signal related to whether smart PLS.3 can deal with categorical data. I have a study framework contains 6 variables all of them are categorical (ordinal and nominal) and I can not use Amos as some of the variables have only one indicator.
However, my framework is SEM contains three variable as independent and their indicators are nominal , the second two variable have ordinal and nominal indicators as mediators and the last two are dependent variables and measured by nominal indicators.
Please, could you advise me whether smart PLS.3 is suitable for my study? if yes, please suggest some references to argue my choice.
Kind Regards,
Salem
Categorical data
- cringle
- SmartPLS Developer
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- Real name and title: Prof. Dr. Christian M. Ringle
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Re: Categorical data
Please take a look at
Lohmöller, Jan-Bernd. 1989. Latent Variable Path Modeling with Partial Least Squares. Heidelberg: Physica.
You may want to use dummies for all categories. But this is not "standard" PLS-SEM anymore. You need to intepret results similar to logit/probit models.
Best regards
Christian Ringle
Lohmöller, Jan-Bernd. 1989. Latent Variable Path Modeling with Partial Least Squares. Heidelberg: Physica.
You may want to use dummies for all categories. But this is not "standard" PLS-SEM anymore. You need to intepret results similar to logit/probit models.
Best regards
Christian Ringle
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Prof. Dr. Christian M. Ringle, Hamburg University of Technology (TUHH), SmartPLS
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de
- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de