Questions about the implementation and application of the PLS-SEM method, that are not related to the usage of the SmartPLS software.
DrNeurocooper
PLS Junior User
Posts: 9 Joined: Sat Aug 11, 2012 7:55 pm
Real name and title:
Post
by DrNeurocooper » Fri Jul 12, 2013 3:54 pm
Dear PLS community,
I have a following issue with my path coefficients and their significance in my structural model:
Exogenous variable A (formative) has a path coef. of -0,07 and t-value of 2,38;
Exogenous variable B (only one indicator) has a path coef. of 0,23 and t-value of 0,95.
Endogenous variable would be C. The relationships are the following:
A->C
B->C
Can you tell me if I need to drop those two exogenous variables?
Thanks in advance
Hengkov
PLS Super-Expert
Posts: 1599 Joined: Sun Apr 24, 2011 10:13 am
Real name and title: Hengky Latan
Location: AMQ, Indonesia
Contact:
Post
by Hengkov » Fri Jul 12, 2013 9:45 pm
Hi,
This is a bug software. I already mention that in old post.
If beta negative, T-statistic also negative, because beta/standar error = T-statistic. So, you T-statistic NOT POSITIVE, but negative. This is potential misinterpret (Type I error).
Regards,
DrNeurocooper
PLS Junior User
Posts: 9 Joined: Sat Aug 11, 2012 7:55 pm
Real name and title:
Post
by DrNeurocooper » Sat Jul 13, 2013 9:40 am
Dear Hengky,
thanks a lot - it was new to me about the bug.
What about the second case, where
"Exogenous variable B (only one indicator) has a path coef. of 0,23 and t-value of 0,95"?
How should I interpret this one? Is it still not significant and this variable has to be droped?
Regards
DrNeurocooper
PLS Junior User
Posts: 9 Joined: Sat Aug 11, 2012 7:55 pm
Real name and title:
Post
by DrNeurocooper » Tue Jul 16, 2013 3:55 pm
Can someone help me with an answer for me?
I would appreciate if someone would give me a reference on this topic?
Thanks in advance.
Hengkov
PLS Super-Expert
Posts: 1599 Joined: Sun Apr 24, 2011 10:13 am
Real name and title: Hengky Latan
Location: AMQ, Indonesia
Contact:
Post
by Hengkov » Fri Jul 19, 2013 11:58 pm
Hi,
Why drop, misspecification model? Still retain & not sig. But if you used NHST, cannot say not sig., but not influence.
Regards,
DrNeurocooper
PLS Junior User
Posts: 9 Joined: Sat Aug 11, 2012 7:55 pm
Real name and title:
Post
by DrNeurocooper » Sat Jul 20, 2013 12:25 pm
Thanks a lot.
So the hypothesis will not be droped, but just noted that they have an influence, but not significant.
I need it for my master thesis, so till now only basic knowledge of PLS is there.
Thanks again