How to perform "bootstrapped mediation" in WarpPLS

[Peerayuth Charoensukmongkol]

Could you please suggest whether WarpPLS can do bootstrapped mediation.

I got this comment from the reviewer.  Not sure whether WarpPLS can perform this.

The Sobel test of mediation is typically considered out-of-date. More recent methods include Preacher and Hayes’ bootstrapped mediation approach (e.g., Hayes, 2009). In particular, this allows for multiple mediation models, where you can enter a number of simultaneous mediators and test this model all at once (Preacher & Hayes, 2008). This will help us see whether each of the mediators you propose exert independent effects, or whether they may actually be redundant.

Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium. Communication Monographs, 76(4), 408–420. https://doi.org/10.1080/03637750903310360 

Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879

[Ned Kock]

This can be addressed through the feature discussed in the link below:

http://youtu.be/D9m4K_fv2vI

Also, the following may be useful, for discussion and citation (justification) purposes:

http://www.scriptwarp.com/warppls/pubs/Kock_2014_UseSEsESsLoadsWeightsSEM.pdf

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[Peerayuth Charoensukmongkol]

Thanks for your answer.  

By the way, I am curious whether the method provided in WarpPLS is actually the method suggested by Preacher and Hayes (2008).  As I looked at some paper that use bootstrapped mediation, for example, they said they used "bias corrected and accelerated bootstrapping with 10,000 resamples to obtain a 95% confidence interval for the indirect effect"  The result they reported, for example, "there was a significant indirect effect of awe condition on well-being through perceived powerlessness (point estimate: .11, SE .04; 95% CI [ .21, .05]) and the effect of awe condition on well-being dropped in significance. 

If WarpPLS actually perform Preacher and Hayes (2008) method, could you please suggest where to obtain the results I put in bold?

Thanks so much in advance for your suggestion.

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[Ned Kock]

WarpPLS generates the point estimate, which is the indirect effect coefficient, and the corresponding SE. With those, you can generate the confidence interval as indicated in the link below:

http://cits.tamiu.edu/kock/pubs/journals/2016/Kock_2016_IJeC_ConfIntervalsPathModel.pdf

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