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Mastering Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS in 38 Hours
dividends when theory is scarce, correct model specifications are uncertain, and
predictive accuracy is paramount.
Marketers can use PLS to build models that measure latent variables such as
socioeconomic status, perceived quality, satisfaction, brand attitude, buying intention,
and customer loyalty. When applied correctly, PLS can be a great alternative to
existing covariance-based SEM approaches.
Dr. Ken Kwong-Kay Wong wrote this reference guide with graduate students and
marketing practitioners in mind. Coupled with business examples and downloadable
datasets for practice, the guide includes step-by-step guidelines for advanced PLS-
SEM procedures in SmartPLS, including: CTA-PLS, FIMIX-PLS, GoF (SRMR, dULS
, and
dG
), HCM, HTMT, IPMA, MICOM, PLS-MGA, PLS-POS, PLSc, and QEM.
Filled with useful illustrations to facilitate understanding, you’ll find this guide a
go-to tool when conducting marketing research.
“This book provides all the essentials in comprehending, assimilating, applying and explicitly
presenting sophisticated structured models in the most simplistic manner for a plethora of
Business and Non-Business disciplines.” — Professor Siva Muthaly, Dean of Faculty of
Business and Management at APU.
Dr. Ken Kwong-Kay Wong is an award-winning marketing
professor who has taught applied research for more
than fifteen years in higher education. He has trained
students on PLS-SEM in Canada, China, Finland, France,
South Korea, UAE, and Eastern Europe. His research
interests include luxury marketing, customer experience
management, and emerging research methods. He is also the
author of Avoiding Plagiarism, Approved Marketing Plans for New
Products and Services, CRM in Action, More Bucks Annually, and Putting a Stake in the
Ground: Strategies for Getting Your First Marketing Journal Article Published Successfully.
m
BUSINESS/ECONOMICS
U.S. $XX.XX
MasteringPartialLeastSquaresStructuralEquationModeling(PLS-SEM)withSmartPLSin38HoursWong
“PLS-SEM is a very robust and advanced technique that is well suited for prediction in
multi-equation econometric models. This easy-to-read book helps researchers apply various
statistical procedures in SmartPLS quickly in a step-by-step manner. I would highly recommend
it to all PLS-SEM user.”
— Prof. Dipak C. Jain
astering Partial Least Squares Structural
Equation Modeling (PLS-SEM)
with SmartPLS in 38 Hours
“PLS-SEM is a very robust and advanced technique that is well suited for
prediction in multi-equation econometric models. This easy-to-read book
helps researchers apply various statistical procedures in SmartPLS quickly
in a step-by-step manner. I would highly recommend it to all PLS-SEM
user.”
— Prof. Dipak C. Jain
President (European) and Professor of Marketing
CEIBS, Shanghai
“Having supervised to completion twenty-seven doctoral candidates,
of which 70% utilized quantitative methodology using PLS, I wish I
had Dr. Wong’s book earlier. Mastering Partial Least Squares Structural
Equation Modeling (PLS-SEM) with SmartPLS in 38 Hours provides all
the essentials in comprehending, assimilating, applying and explicitly
presenting sophisticated structured models in the most simplistic manner
for a plethora of Business and Non-Business disciplines. Since PLS-SEM
quantitative analysis has gained prominence with most top tiered academic
journals, this book is a necessity for aspiring academics who wish to have
prolific publications in highly ranked publications.”
— Prof. Siva Muthaly
Dean, Faculty of Business & Management
Asia Pacific University of Technology & Innovation, Malaysia
“In a world filled with fake-news, academic research results get ever more
important. For that reason, key methodologies like PLS-SEM must become
available and understood beyond an elite scholar group. Dr. Wong’s book
does just that and is therefore highly recommended.”
— Prof. dr. Jack AA van der Veen
Professor of Supply Chain Management
Nyenrode Business Universiteit, The Netherlands
Do Drive thay đổi chính sách, nên một số link cũ yêu cầu duyệt download. các bạn chỉ cần làm theo hướng dẫn.
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Mastering Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS in 38 Hours
dividends when theory is scarce, correct model specifications are uncertain, and
predictive accuracy is paramount.
Marketers can use PLS to build models that measure latent variables such as
socioeconomic status, perceived quality, satisfaction, brand attitude, buying intention,
and customer loyalty. When applied correctly, PLS can be a great alternative to
existing covariance-based SEM approaches.
Dr. Ken Kwong-Kay Wong wrote this reference guide with graduate students and
marketing practitioners in mind. Coupled with business examples and downloadable
datasets for practice, the guide includes step-by-step guidelines for advanced PLS-
SEM procedures in SmartPLS, including: CTA-PLS, FIMIX-PLS, GoF (SRMR, dULS
, and
dG
), HCM, HTMT, IPMA, MICOM, PLS-MGA, PLS-POS, PLSc, and QEM.
Filled with useful illustrations to facilitate understanding, you’ll find this guide a
go-to tool when conducting marketing research.
“This book provides all the essentials in comprehending, assimilating, applying and explicitly
presenting sophisticated structured models in the most simplistic manner for a plethora of
Business and Non-Business disciplines.” — Professor Siva Muthaly, Dean of Faculty of
Business and Management at APU.
Dr. Ken Kwong-Kay Wong is an award-winning marketing
professor who has taught applied research for more
than fifteen years in higher education. He has trained
students on PLS-SEM in Canada, China, Finland, France,
South Korea, UAE, and Eastern Europe. His research
interests include luxury marketing, customer experience
management, and emerging research methods. He is also the
author of Avoiding Plagiarism, Approved Marketing Plans for New
Products and Services, CRM in Action, More Bucks Annually, and Putting a Stake in the
Ground: Strategies for Getting Your First Marketing Journal Article Published Successfully.
m
BUSINESS/ECONOMICS
U.S. $XX.XX
MasteringPartialLeastSquaresStructuralEquationModeling(PLS-SEM)withSmartPLSin38HoursWong
“PLS-SEM is a very robust and advanced technique that is well suited for prediction in
multi-equation econometric models. This easy-to-read book helps researchers apply various
statistical procedures in SmartPLS quickly in a step-by-step manner. I would highly recommend
it to all PLS-SEM user.”
— Prof. Dipak C. Jain
astering Partial Least Squares Structural
Equation Modeling (PLS-SEM)
with SmartPLS in 38 Hours
“PLS-SEM is a very robust and advanced technique that is well suited for
prediction in multi-equation econometric models. This easy-to-read book
helps researchers apply various statistical procedures in SmartPLS quickly
in a step-by-step manner. I would highly recommend it to all PLS-SEM
user.”
— Prof. Dipak C. Jain
President (European) and Professor of Marketing
CEIBS, Shanghai
“Having supervised to completion twenty-seven doctoral candidates,
of which 70% utilized quantitative methodology using PLS, I wish I
had Dr. Wong’s book earlier. Mastering Partial Least Squares Structural
Equation Modeling (PLS-SEM) with SmartPLS in 38 Hours provides all
the essentials in comprehending, assimilating, applying and explicitly
presenting sophisticated structured models in the most simplistic manner
for a plethora of Business and Non-Business disciplines. Since PLS-SEM
quantitative analysis has gained prominence with most top tiered academic
journals, this book is a necessity for aspiring academics who wish to have
prolific publications in highly ranked publications.”
— Prof. Siva Muthaly
Dean, Faculty of Business & Management
Asia Pacific University of Technology & Innovation, Malaysia
“In a world filled with fake-news, academic research results get ever more
important. For that reason, key methodologies like PLS-SEM must become
available and understood beyond an elite scholar group. Dr. Wong’s book
does just that and is therefore highly recommended.”
— Prof. dr. Jack AA van der Veen
Professor of Supply Chain Management
Nyenrode Business Universiteit, The Netherlands
Do Drive thay đổi chính sách, nên một số link cũ yêu cầu duyệt download. các bạn chỉ cần làm theo hướng dẫn.
Password giải nén nếu cần: ket-noi.com | Bấm trực tiếp vào Link để tải:
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