Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Hengky Latan
B01=Joseph F. Hair
B01=Jr.
B01=Richard Noonan
Category1=Non-Fiction
Category=JHBC
Category=KCH
Category=KCHS
Category=PBT
Category=UFM
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications

English

Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines.

This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specific indirect effects in PLS and considering their effect size; how to run hierarchical models and available approaches; and how to apply necessary condition analysis (NCA) in PLS-PM.

This book will appeal to researchers interested in the latest advances in PLS-PM as well as masters and Ph.D. students in a variety of disciplines who use PLS-PM methods. With clear guidelines on selecting and using PLS-PM, especially those related to composite models, readers will be brought up to date on recent debates in the field.


See more
Current price €164.04
Original price €192.99
Save 15%
Age Group_Uncategorizedautomatic-updateB01=Hengky LatanB01=Joseph F. HairB01=Jr.B01=Richard NoonanCategory1=Non-FictionCategory=JHBCCategory=KCHCategory=KCHSCategory=PBTCategory=UFMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 05 Dec 2023

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 05 Dec 2023
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031377716

About

Hengky Latan currently serves as research director at the FTD Institute and senior researcher at HLC Consulting. He has authored over 15 books including Covariance Structure Analysis PLS Path Modeling and Generalized Structure Component Analysis for Structural Equation Modeling approaches and several multivariate analysis books using IBM SPSS and Stata. He is also the Editor-in-Chief of the edited book on PLS-PM published by Springer (Cham). His current research addresses business ethics sustainability human resource management innovation and quantitative methods. He has published over 45 articles most of them in leading international journals such as the Journal of Business Ethics Human Resource Management Journal International Journal of Production Economics Ecological Economics Technological Forecasting & Social Change Journal of Business Research Journal of International Management and others. He frequently publishes in FT50 CABS4 CNRS1 and FNEGE1 journals. According to Google Scholar his works have been cited more than 12500 times (H-Index = 43) in just 8 years of his academic career.Joseph F. Hair Jr is the Director of the Ph.D. Program in Business Administration Mitchell College of Business University of South Alabama U.S.A. He is ranked #1 globally in Multivariate Data Analysis SEM and PLS-SEM and his career citations exceed 340000 with H-Index 109 and I-10 461. He has co-authored over 100 editions of his books including: Multivariate Data Analysis (2019); Essentials of Business Research Methods (2023); A Primer on Partial Least Squares Structural Equation Modeling (2022); Advanced Issues in Partial Least Squares Structural Equation Modeling (2023); A Primer on Partial Least Squares Structural Equation Modeling: R Version (2021); and Essentials of Marketing Analytics (2024). He has published over 160 articles in scholarly journals such as the Journal of Marketing Research Journal of Academy of Marketing Science Organizational Research Methods Harvard Business Review European Journal of Marketing Journal of Family Business Strategy European Management Journal and others.Richard Noonan studied Economics of Education at Columbia University NY (Ed.D.) and Stockholm University Sweden (Ph.D.). He served as Research Officer with the International Association for the Evaluation of Educational Achievement (IEA) and later as Associate Professor at the Institute of International Education Stockholm University Sweden. As an education economist he served as consultant to UNESCO World Bank Asian Development Bank the International Labour Organization and many other multilateral and bilateral international development agencies. He has published numerous articles and several books on education systems with an emphasis on quantitative analysis including the use of PLS in the analysis of education and training systems. He retired in 2012 and devotes his time to writing.    

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept