Common method bias is apparent in cross-sectional survey research. Are there significant ways to minimise the common method bias in cross-sectional survey research? Please provide me with the sources.
You can test for common method bias (CMB) using the Harman's single factor score, in which all items are loaded into one common factor. If the total variance for a single factor is less than 50%, then we can say CMB does not affect the results. Podasakoff and co explains how to control for CMB in detail here.
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539-569. doi: doi:10.1146/annurev-psych-120710-100452
For more detailed instructions to run Harman's single factor score, you can have a look at the attached publications. Page 42 of 'Introduction to SPSS' guides you on steps to check for CMB using Harman's single factor score.
Should you encounter potential CMB (total variance for one factor is in excess of 50%), you may want to remedy the issue based on suggestions in these articles:
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. doi: 10.1037/0021-9010.88.5.879
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539-569. doi: doi:10.1146/annurev-psych-120710-100452
I agree with Spector 2006, that the common method bias is overrated. Many authors (and reviewers) use it as a catch-cry to show that they have dealt with methodology. However, very few can also justify how this error affects a given investigation or the application of certain methods in the context of a certain issue.
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