Hi Lili,

For the age group you should be used only one column: for first group use 1. for second group use 2 and follow.

There are many tutorilas in youtube. for example, see: https://www.youtube.com/watch?v=upEf1brVvXQ

hope that help

Hi Dirceu,

Thank you for your answer, I was not sure I can use this type of moderating effect , because in UTAUT the influence of the age or gender is on the relationship and not on the LV.

Do you know if I can use the moderating effect as it show on the video in order to run the UTAUT moderating effect?

As well in the original research (Venkatesh et al 2003) they show that there is a significant effect on younger group , can I see that without running  MGA? and only by moderating effect?

I hope it was clear,

BR,

Libi.

Hi Lili,

Yes, you will use the moderating effect in UTAUT model. Try it! it will can be a good discovery!

but, the moderator effect do "not provide" a tendency of respondents behavior.

If you know that the younger respondents have a tendency of more agree with the UTAUT constructs. I suggest to use regression linear or discriminant analysis. So you will localizate the diffences between participants.

with respect to gender, you will can to use the logistic regression (For example, by codification male = 0 and female = 1). If you use the SPSS software, there is teh possibility of classify the respondents. Logist regression is the case non parametric of the discriminat analysis.

hope that help you

BR

Dirceu

Dear Dirceu,

Thank you so much for your answer.

BR,

Libi. 

One more question, After adding the Gender and Age in my model and after running bootstrapping , i have not applicable data - no results in sample mean and STDV

Any idea why it is happen and how to fix it?

Thank you,

Libi. 

Hi Lili,

The adjustments of a model always are work hard!

Your results are very strange to me. Please explain more about them.

If you will can print the software output screen and to send to me I will analysis the results.

BR

Dirceu

Hi Dirceu,

Thank you so much, I managed to find the solution - when I run my subsample with 200 and with one tailed T-statistic it is working fine. (my observation=107)

I attached here by the software ourput, just for the confirmation I did it correctly

Thank you,

Libi.

Check this out:

https://www.smartpls.com/resources/ebook_on_pls-sem.pdf