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Friday, February 28, 2014

Using data labels to discover moderating effects in PLS-based structural equation modeling


How can one discover moderating effects? This question is addressed through a publication recently released as a ScriptWarp Systems research report:

Kock, N. (2014). Using data labels to discover moderating effects in PLS-based structural equation modeling. Laredo, TX: ScriptWarp Systems.

PDF file:

http://www.scriptwarp.com/warppls/pubs/Kock_2014_UsingDataLabelsMod.pdf

This publication refers to a sample dataset, with data and data labels, illustrating a moderating effect. This dataset is linked below as a .xlsx file. The data was created based on a Monte Carlo simulation.

http://www.scriptwarp.com/warppls/data/Kock_2014_ECollabModStudyData.xlsx

3 comments:

Saiyidi Syd said...

Hi Ned
I'd like to know the default setting for moderating effect analysis in WarpPLS, i.e., either it's median split or mean split.
The above article demonstrates pre-determine data split which is later used by the software to analyse the moderating effect.
I'm using WarpPLS 4.0.

Appreciate your response. Cheers.
Saiyidi

Ned Kock said...

Hi Saiyidi.

The graph in Fig. 11 employs a median split, for display only, as do the 2D graphs of moderating relationships in WarpPLS.

There is no splitting of the dataset for the calculation of moderating effect coefficients, nor for the generation of the 3D graphs available in version 5.0 of WarpPLS:

http://youtu.be/XEC2a3paJ98

Saiyidi Syd said...

Thanks Ned.
Greatly appreciated.

Saiyidi