Podsakoff's article is a quite good suggestion. I used some of the methods proposed in the article in my Doctorate thesis and they worked perfectly.
YouTube videos are also great, mainly those provided by James Gaskin.
An, by the way, Gaskin will promote a SEM training in Marriott School of Management (Brigham Young University) in May, 2017, which can be followed online. Link for registration is http://marriottschool.byu.edu/event/sembootcamp2017/home. I'll be there (online, unfortunately...).
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
And by theway, it is a great indication: you can use having a marker in your questionnarie or ad hoc using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
Ju$t to help, look to thi$ link and get Girish's indication for free.
And by the way, it is a great indication: you can use having a marker in your questionnarie or, if you didn't do this, using the variable under study with the lowest correlation as a sort of marker.
Good suggestion !!
Article Accounting for Common Method Variance in Cross-Sectional Res...
Dear Aboobucker, you can try this article for a simple and comprehensive step by step guide about CMV. Regards.
Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and Controlling for Common Method Variance: A Review of Available Methods. Journal of Management Sciences, 4(2), 142-168.
This is regarding the common method bias. I used Harman's single factor test where my principal component factor analysis generated 4 factors whose Eigen value over 1,. The highest variance explained by one factor is accounted for 46.2%.
In addition I have included the confirmed correlation matrix. Thus, any high correlation is also the evidence for common method bias (r > .90) (Gaskin 2011; Lowry and Gaskin 2014).
When I submitted my paper to the journal they asked me the major revision and wanted me to do partialling out social desirability/general affectivity or partialling out a “marker” variable.
1. Could you please explain what is the maximum cut-off for Harman’s single-factor test?
2. What is wrong with my calculated common method bias using Harman’s single-factor test ? If problem exist how to solve it using this method?
3. How to do common method bias test using partialling out a “marker” variable using smart PLS 3? / What are the steps or procedure to do in Smart PLS 2?
4. Please send me any video tutorial links to learn this partialling out a “marker” variable. Please
I am looking forward your reply as soon as possible
Dear Aboobucker, Herman's single factor is not even a test but a procedure and is not acceptable in detecting and dealing Common Method Bias or Variance. U can read carefully the paper i referred (Tehseen et al., 2017), it would definitely give u better insight about the matter. Regards