Wednesday, July 25, 2012
Create and use second order latent variables in WarpPLS: YouTube video
A new YouTube video for WarpPLS is available; please see link below.
http://youtu.be/bkO6YoRK8Zg
The video shows how to create and use second (and higher) order latent variables with the structural equation modeling (SEM) analysis software WarpPLS.
Enjoy!
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10 comments:
thank you Prof for second order construct video. basically in my research I am using four dimensions with various items. All items fulfill accepted criteria of >0.5. But when I put these four dimensions in a second order construct than among four one construct load below .5. kindly suggest me a salutation.
Regards,
WB
Second order LVs often end up being multidimensional, with non-redundant indicators – and thus low loadings. As such, they should pass formative measurement criteria, as opposed to reflective criteria. I hope that the materials linked below can be of use in connection with this.
Kock, N., & Mayfield, M. (2015). PLS-based SEM algorithms: The good neighbor assumption, collinearity, and nonlinearity. Information Management and Business Review, 7(2), 113-130.
Kock, N. (2014). Advanced mediating effects tests, multi-group analyses, and measurement model assessments in PLS-based SEM. International Journal of e-Collaboration, 10(3), 1-13.
(For the full text links to the above and other publications, see under “Publications” at: http://warppls.com.)
User Manual (link to specific page):
http://www.scriptwarp.com/warppls/UserManual_v_5_0.pdf#page=62
The formative-reflective measurement dichotomy
http://warppls.blogspot.com/2015/07/the-formative-reflective-measurement.html
The links above, as well as other links that may be relevant in this context, are available from:
http://warppls.com
Prof Ned, what to do you can this approach in assessing higher order order construct? I read several articles mentioning various approaches in assessing higher order construct.
Hi Jean. I am not sure I understand the question.
What do you call the process/approach in assessing the HOC provided in the video?
Hierarchical latent variable modelling. See, also, from WarpPLS.com:
Kock, N. (2011). Using WarpPLS in e-collaboration studies: Mediating effects, control and second order variables, and algorithm choices. International Journal of e-Collaboration, 7(3), 1-13.
Hello Professor,
I am eager to study the process of hierarchical latent variable modelling. While doing the process, will it be fine to proceed if in the first step some results (8 HTMT Ratio) from the HTMT ratios are greater than the acceptable value 9.00 (Highest: 1.05) or will I delete the dimension causing the high HTMT Ratios?
Actually, HLM is more in line with the pub. below, available from warppls.com.
Kock, N. (2020). Multilevel analyses in PLS-SEM: An anchor-factorial with variation diffusion approach. Data Analysis Perspectives Journal, 1(2), 1-6.
Having said that, those HTMT values look way too high. How to the HTMT2 numbers look like?
hello again sir,
the HTMT2 (HOC) where all dimensions were already combined to provide a new variable provided me with values lower than 8.50 (lowest htmt2= .788).
hello again sir, correcting the comment I posted yesterday,
the HTMT2 (HOC) where all dimensions were already combined to provide a new variable provided me with values lower than 8.50 (HIGHEST htmt2= .788).
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