Reflective-Formative Construct - Unique Proportion of Variance
Posted: Fri Apr 05, 2019 1:33 pm
Hello together,
according to MacKenzie et al. (2011) the reliability of formative first-order constructs can be assessed by excluding one of the first-order constructs one after another to calculate the unique proportion of variance they explain in the second-order constrct. However, this recommendation is for CB-SEM only. Does a similar technique exist for PL-SEM?
The only comparable method that comes to my mind would be a redundancy analysis.
Since always 100 percent of the variance is explained in the second-order construct, when using the repeated indicator approach it is probably not possible to just exclude the first-order constructs, since the secondary loadings would also have to be deleted in the second-order construct, which then result again in an R-Square of 1.
Best regards,
Fabian
according to MacKenzie et al. (2011) the reliability of formative first-order constructs can be assessed by excluding one of the first-order constructs one after another to calculate the unique proportion of variance they explain in the second-order constrct. However, this recommendation is for CB-SEM only. Does a similar technique exist for PL-SEM?
The only comparable method that comes to my mind would be a redundancy analysis.
Since always 100 percent of the variance is explained in the second-order construct, when using the repeated indicator approach it is probably not possible to just exclude the first-order constructs, since the secondary loadings would also have to be deleted in the second-order construct, which then result again in an R-Square of 1.
Best regards,
Fabian