Hi all
I have a construct which is shown to have low (0.015) f square to a DV. However the path coefficients from pointing that construct to the DV, directly and indirectly, are significant and the total effect of that construct to the DV is actually high. As f square essentially measures the impact to a DV with and without a particular IV, how can I interpret this seemingly contradicting result? If the total effect is high, taking out that construct should have significant impact (higher f2) to that DV?
How to interpret good path coefficients and total effect but low f square?
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- PLS Junior User
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Re: How to interpret good path coefficients and total effect but low f square?
The relative impact may be large, but if you omit the construct other construct will take its role and explain the same variance in the dependent construct. This is likely due to some (high) collinearity between the variables.
Dr. Jan-Michael Becker, BI Norwegian Business School, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
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Re: How to interpret good path coefficients and total effect but low f square?
Thanks Dr Becker, that explains it and makes sense.
Re: How to interpret good path coefficients and total effect but low f square?
How high collinearity are we talking here exactly, Dr Becker?
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Re: How to interpret good path coefficients and total effect but low f square?
If I have two formative constructs in the second order. One is Independent and the other is dependent. How would I interpret the F square value of 4.34?