I have a sample size of 160. I am putting age being a continuous variable in my study as a moderator. After running normal PLS algorithm i am getting 1.000 in outerloading for Age. But after bootstrapping, I am getting NaN value in the outerloading of age. Can someone explain the reason and suggest what should i do to get no NaN value.
This is happening for all my categorical variables used as single indicator constructs.
NaN values in outerloadings of single indicator construct categorical variable.
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- SmartPLS Developer
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Re: NaN values in outerloadings of single indicator construct categorical variable.
Yes. Single indicator construct have a fixed weight and loading of 1. Thus, there is no variance and therefore also no t or p-values to calculate. The t and p-value are just not defined and therefore reporting them is also not meaningful.
We have updated this in the recent version of SmartPLS to better reflect this case.
We have updated this in the recent version of SmartPLS to better reflect this case.
Dr. Jan-Michael Becker, BI Norwegian Business School, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de