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New developments in small sample SEM, FYI

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Michael Marsiske, Ph.D.
Associate Professor
Department of Clinical and Health Psychology
PO Box 100165,
1225 Center Drive, Rm. 3150
Gainesville, FL  32610-0165<x-apple-data-detectors://1/0>
Phone:  (352) 273-5097<tel:(352)%20273-5097>
Fax: (801) 720-5897<tel:(801)%20720-5897>
Email: [log in to unmask]<mailto:[log in to unmask]>

Begin forwarded message:

From: StatsCamp <[log in to unmask]<mailto:[log in to unmask]>>
Date: November 15, 2016 at 7:03:55 AM EST
To: [log in to unmask]<mailto:[log in to unmask]>
Subject: Combining Behavioral and Design Research Using Variance-based Structural Equation Modeling
Reply-To: [log in to unmask]<mailto:[log in to unmask]>

Advanced Stats Training



Todd Little's Stats Camp

[http://files.constantcontact.com/afccbb76001/75db2cd4-e6e2-4289-86db-e4a47a95f065.png]


Lubbock, Texas    Dec 1-3, 2016

Combining Behavioral and Design Research Using Variance-based Structural Equation Modeling

"This course is perfect for anyone with small samples and a need to test a structural equation model. J?rg Henseler, acclaimed developer of the ADANCO software is your instructor. J?rg is the world's expert on Partial Least Squares models. It's an excellent alternative to Bayesian SEM and is ideally suited to small sample situations. I can't recommend the course too highly. It will be an important tool in your bag of statistical technique."
Todd Little, Ph.D., Founder of Stats Camp

"The course consists of eleven lectures. The first three lectures provide the conceptual foundation for confirmatory factor analysis, confirmatory composite analysis, and structural equation modeling in general.

The next four lectures cover the basics of variance-based structural equation model- ing: Model specification, estimation, and interpretation. This includes a tutorial of the ADANCO software for variance-based structural equation modeling.

The last four lectures present and discuss various extensions, such as second-order constructs, moderating effects, multigroup analysis, and mediating effects."

 Register Now<http://r20.rs6.net/tn.jsp?f=001nSNW0eAVn3t_DS0Kqul_mN7shjv5TB3jKXbLF97DEWJArMjpN8eZLDYG8crl4GE2bOE9hLiWJiqT6veKgZBOsHadzZaurLO5RCLLv6IQiyMqTRa340AN95GC-Hwtx3GtaPh8xM8E85s-bh0OPc6neO2lQLCqJvdZFHdKml8DANFbE1uiYCdxnPK8Fw4b7Bda6iE4r60L8cUqEpZU5fOZHGeeMBwg-737bHPUAgDtqmnp3PcVhgdDlpifPVkGVviS_qrB4aNQEIZ0qsoBWWOYexTiAImBtWIS2wvz4DrRjijTK5PURDQatDgcMHA9mVaN&c=k_o_8i9T1TkscoxoLVpzpBye7HlbRDIVb8IacJjMI2UkexMTv8xL7A==&ch=Oy9soMaueB75GjDJM1jaNgTPGEzhHLkhi_PHxe2ga4TuhMXxrsC_Vw==>


[http://files.constantcontact.com/afccbb76001/e4686050-7965-453f-90d0-5481c9420628.jpg]

Instructor: J?rg Henseler, Ph.D.
is a professor at the University of Twente, The Netherlands, and a visiting professor at Universidade Nova de Lisboa, Portugal.

His research interests encompass structural equation modeling, marketing research, and management of products, services, and brands. He has published in scholarly journals including Computational Statistics & Data Analysis, European Journal of Information Systems, International Journal of Research in Marketing, Journal of Supply Chain Management, Journal of the Academy of Marketing Science, MIS Quarterly, Organizational Research Methods, Structural Equation Modeling, and he has edited two handbooks on partial least squares path modeling.

He chairs the scientific advisory board of ADANCO, a new software for variance-based structural equation modeling.




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