*** Registration and additional details ***
http://bit.ly/oqoG5C
or
http://scriptwarp.com/warppls/prjs/2012_WarpPLSwkshp_Jan_SanAntonio
*** Instructor ***
Ned Kock, Ph.D.
WarpPLS Developer
http://nedkock.com
*** Location and dates ***
Our Lady of the Lake University
San Antonio, Texas
6-7 January 2012 (Fri-Sat), 8 am–5 pm
*** Workshop program at a glance ***
The main goal of this workshop is to give participants a practical understanding of how to use the software WarpPLS to conduct variance-based structural equation modeling (SEM). The workshop is very hands-on and covers linear and nonlinear applications.
Day 1 of workshop
• Overview of workshop and formation of teams
• Overview of web resources: Video clips, blog, publications, spreadsheets, and templates
• Overview of steps 1 to 5 of a complete SEM analysis
• Hands-on exercise: Steps 1 to 5 of a complete SEM analysis
• Resampling as shuffling multiple decks of cards
• Choosing the right resampling method
• Hands-on exercise: Changing the resampling method
• Choosing the right warping (i.e., nonlinear) algorithm
• Viewing plots of linear and nonlinear relationships
• Hands-on exercise: Changing the warping algorithm and viewing plots
• Charting non-standardized data
• Hands-on exercise: Charting non-standardized data
• Reading discussion: Kock (2011) – WarpPLS 2.0 User Manual
Day 2 of workshop
• Testing a mediating effect using the Baron & Kenny approach
• Hands-on exercise: Testing a mediating effect using the Baron & Kenny approach
• Testing a mediating effect using the Preacher & Hayes approach
• Hands-on exercise: Testing a mediating effect using the Preacher & Hayes approach
• Reading discussion: Kock et al. (2009) – Communication flow orientation article
• Testing a moderating effect
• Hands-on exercise: Testing a moderating effect
• Adding control variables into an analysis
• Conducting a multi-group analysis
• Conducting a full collinearity test
• Reading discussion: Zhang et al. (2010) – Organizing software testing article
• Hands-on exercise: Team project using participant’s own data
• Presentation of results from team project
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