Common method variance effects and the models of statistical approaches for controlling it
HX XIONG, J ZHANG, BJ YE, X ZHENG…�- Advances in�…, 2012 - journal.psych.ac.cn
Common Method Variance (CMV) refers to the overlap in variance between two variables
because of the type of measurement instrument used rather than representing a true
relationship between the underlying constructs. Researchers should give careful
consideration to CMV although it may not surely bias the conclusions about the relationships
between measures. CMV effect is often created by using the same method—especially a
survey—to measure each variable. Procedural design and statistical control solutions are�…
because of the type of measurement instrument used rather than representing a true
relationship between the underlying constructs. Researchers should give careful
consideration to CMV although it may not surely bias the conclusions about the relationships
between measures. CMV effect is often created by using the same method—especially a
survey—to measure each variable. Procedural design and statistical control solutions are�…