Please let me know if this reference (freely downloadable) is helpful to you:

Download site:  http://www.jwalkonline.org/docs/Grad%20Classes/Survey/articles/required/Podsakoff%20-%20common%20method%20biases.pdf

Common Method Biases in Behavioral Research: A Critical Review of the

Literature and Recommended Remedies

Philip M. Podsakoff, Scott B. MacKenzie, and

Jeong-Yeon Lee

Indiana University

Nathan P. Podsakoff

University of Florida

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes

through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for ...

Dennis

Dennis Mazur

Dear Wassim,

                         The link of youtube which i am sharing will helpful for you to test the common method variance. Furthermore, this question was raised earlier by another member and you can visit the answers at said page.

https://www.researchgate.net/post/What_is_meant_by_Common_Method_Bias_How_do_we_test_and_control_it

Hopefully, it will helpful for you to. Best of luck for your research.  

https://www.youtube.com/watch?v=w7zZCBlRXog

Dear Wassim

The choice of statistical test depends on the hypothesis, but in most case, we use F-test within ANOVA to detect the significance of part the source of variation. 

Good Luck

Thanks Professors and colleagues Dennis, Muhammad and Khalid.

I want to have a response on these statistical approaches and when we apply them.

I ask if we choose one of them or Are we in obligation to apply them all in same reseach?

you can check this link

http://www.lexjansen.com/mwsug/2014/AA/MWSUG-2014-AA11.pdf

Dear Wassim

In the case of ANOVA, there are many assumptions must be available, like the data of the depend variable must be continuously variable and normally distributed, and there is the homogeneity of variance between groups.

In the case of the non-normal distribution or ordinal data, you can use non-parametric tests.

Good Luck

Thank you all for the provided information and comments.