Hi everyone,
In my research, I have a dependent variable that is categorical (presence of innovation, answers: yes/no).
Is it still possible to do the normal PLS analyses (bootstrapping etc.) or do I need to do additional analyses?
Thanks for your help!
Emma
Categorical dependent variable
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Re: Categorical dependent variable
Hi
PLS requires metric variables. You get results but must change the interpretation (which is very tricky). It's like in regression when you use a dependend dummy coded variable instead a metric variable as required - the analysis changes into a logit/probit model.
Best
CR
PLS requires metric variables. You get results but must change the interpretation (which is very tricky). It's like in regression when you use a dependend dummy coded variable instead a metric variable as required - the analysis changes into a logit/probit model.
Best
CR
Prof. Dr. Christian M. Ringle, Hamburg University of Technology (TUHH), SmartPLS
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Re: Categorical dependent variable
Hi,
May be BSEM (Bayesian Structural Equation modeling) more appropiate for handle your cases with DV category.
Best regards,
May be BSEM (Bayesian Structural Equation modeling) more appropiate for handle your cases with DV category.
Best regards,
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Re: Categorical dependent variable
There was more PLS work on this in the 1980s. The Lohmoller text might provide some guidance.
brad
brad
Bradley Wilson. Ph.D. Senior Lecturer in Advertising. School of Media and Communication. RMIT University. Melbourne, Australia.
SEE: http://www.researchgate.net/profile/Bradley_Wilson2 http://scholar.google.com.au/citations? ... AAAJ&hl=en
SEE: http://www.researchgate.net/profile/Bradley_Wilson2 http://scholar.google.com.au/citations? ... AAAJ&hl=en