In case of Structure equation modeling (AMOS) the test of common method bias using single factor shows negative variance in output for some of the residual.I have tried to constrain other indicatar path as well as to delete some of the indicatar without any fruitful result.How to solve this problem as my CFA is quite good with non-significant chi-square and better model fit?How to interpret it?
Ramendra, it is an estimated variance. The model cannot be accepted as is, since the value is theoretically unacceptable. I found this IBM AMOS reference that suggests some remedies. It seems you can constrain the actual path, but you will need to justify it theoretically. The source also suggests that you can change the estimation method in the Analysis Properties dialogue.
http://www-01.ibm.com/support/docview.wss?uid=swg21476222
Ramendra,
you're facing an identification issue - that is the common factor and its loadings/errors cannot be estimated. In addition, you are moving on a delusive path by assuming such models can circumvent common method bias :)
Best,
Holger
Conway, J. M., & Lance, C. E. (2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business and Psychology, 25(3), 325–334. doi:10.1007/s10869-010-9181-6
Richardson, H. A. H. A., Simmering, M. J., & Sturman, M. C. (2009). A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance. Organizational Research Methods, 12(4), 762–800. doi:10.1177/1094428109332834
Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: A review and recommendations. The Leadership Quarterly, 21, 1086–1120.
Thanks a lot Nikolaos & Dr.Holger.I really appreciate your suggestions.
Warm Regards
Ramendra
is this equivalent to getting negative values for common methods bias using smart PLS?? From the explanation, they say once the values are less than 3.3 then its perfect. Can i assume its normal or must values be positive but less than 3.3?
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