With regard to checking for common method bias, I have just used SmartPLS according to the following advised method:
LIANG, H.; SARAF, N.; HU, Q.; XUE, Y. Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Quarterly. v.31, n.1, p.59-87, mar/2007.
These authors advise that for the indicators created as single indicator constructs their "measurement error and loading have to be constrained to zero and one, respectively".
MY QUESTION: How does one accomplish this using Smartpls?
COMMON METHOD BIAS
COMMON METHOD BIAS
Belinda Dewsnap
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Hey Belinda,
Please check following post for an answer:
viewtopic.php?t=639&highlight=cmv
Best regards,
Christian
Please check following post for an answer:
viewtopic.php?t=639&highlight=cmv
Best regards,
Christian
CMV
Thanks, but it is something quite specific from the procedure advised by Liang et al that I don't know to do, vis:
These authors advise that for the indicators created as single indicator constructs their "measurement error and loading have to be constrained to zero and one, respectively".
Hopeful thanks,
Belinda
These authors advise that for the indicators created as single indicator constructs their "measurement error and loading have to be constrained to zero and one, respectively".
Hopeful thanks,
Belinda
Belinda Dewsnap
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- PLS Expert User
- Posts: 248
- Joined: Sat Jul 25, 2009 1:34 pm
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Sorry!
Isn't that condition automatically fulfilled for a single indicator measurement?
If we use only one indicator for measurement the loading has to be 1 and therefore the measurement error is 0. I am not fully understand the comment of Liang et al. ;-)
Please correct me, if I am wrong!
Best regards,
Christian
Isn't that condition automatically fulfilled for a single indicator measurement?
If we use only one indicator for measurement the loading has to be 1 and therefore the measurement error is 0. I am not fully understand the comment of Liang et al. ;-)
Please correct me, if I am wrong!
Best regards,
Christian
You should note that the Liang et al. does actually nothing to control for method variance. The reason for this is explained in detail in our paper that is cited in this thread. We also provide an alternative with simulation evidence supporting the method.
viewtopic.php?t=1573
viewtopic.php?t=1573