Composite Vs. common factor

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osohaib
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Composite Vs. common factor

Post by osohaib » Thu Nov 30, 2017 9:47 am

I don’t have statistical background. I read that PLS-SEM is suitable for both composite and common factors models. However, CB-SEM is suitable for only factor models. But actually I don’t know the difference between the two.
Could you please differentiate between composite and factor models? How would I know if my model is composite or common factor? I know the difference between refletive and formative constructs though.

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cringle
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Re: Composite Vs. common factor

Post by cringle » Sat Dec 09, 2017 10:46 am

This article should include the info you are looking for:

Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation Issues with PLS and CBSEM: Where the Bias Lies! Journal of Business Research, 69(10), 3998-4010. http://www.sciencedirect.com/science/ar ... 6316304404

Kind regards
Christian Ringle

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cringle
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Re: Composite Vs. common factor

Post by cringle » Fri Dec 15, 2017 7:11 am

Also, check this recent open-access article on the CB-SEM and PLS-SEM debate: Rigdon, E. E., Sarstedt, M., & Ringle, C. M. (2017). On Comparing Results from CB-SEM and PLS-SEM. Five Perspectives and Five Recommendations. Marketing ZFP, 39(3), 4-16. https://rsw.beck.de/docs/librariesprovi ... f?sfvrsn=0

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