Latent Variable Path Modeling With Partial Least Squares
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Latent Variable Path Modeling With Partial Least Squares
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Author : Jan-Bernd Lohmöller
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Latent Variable Path Modeling With Partial Least Squares written by Jan-Bernd Lohmöller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Business & Economics categories.
Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of special cases of PLS (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general PLS technique. The proof of the convergence of the PLS algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual.
Partial Least Squares Path Modeling
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Author : Hengky Latan
language : en
Publisher: Springer
Release Date : 2017-11-03
Partial Least Squares Path Modeling written by Hengky Latan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-03 with Mathematics categories.
This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview of the current state of the most advanced research related to PLS-PM. The first section of this book emphasizes the basic concepts and extensions of the PLS-PM method. The second section discusses the methodological issues that are the focus of the recent development of the PLS-PM method. The third part discusses the real world application of the PLS-PM method in various disciplines. The contributions from expert authors in the field of PLS focus on topics such as the factor-based PLS-PM, the perfect match between a model and a mode, quantile composite-based path modeling (QC-PM), ordinal consistent partial least squares (OrdPLSc), non-symmetrical composite-based path modeling (NSCPM), modern view for mediation analysis in PLS-PM, a multi-method approach for identifying and treating unobserved heterogeneity, multigroup analysis (PLS-MGA), the assessment of the common method bias, non-metric PLS with categorical indicators, evaluation of the efficiency and accuracy of model misspecification and bootstrap parameter recovery in PLS-PM, CB-SEM, and the Bollen-Stine methods and importance-performance map analysis (IPMA) for nonlinear relationships. This book will be useful for researchers and practitioners interested in the latest advances in PLS-PM as well as master and Ph.D. students in a variety of disciplines using the PLS-PM method for their projects.
Handbook Of Partial Least Squares
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Author : Vincenzo Esposito Vinzi
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-10
Handbook Of Partial Least Squares written by Vincenzo Esposito Vinzi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-10 with Mathematics categories.
This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. The handbook serves both as an introduction for those without prior knowledge of PLS and as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.
New Challenges To International Marketing
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Author : Tamer Cavusgil
language : en
Publisher: Emerald Group Publishing
Release Date : 2009-02-20
New Challenges To International Marketing written by Tamer Cavusgil and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-20 with Business & Economics categories.
Addresses the impact on international marketing of major trends in the external and internal environment of the firm: technology-enabled international marketing research, global account management, procurement and international supplier networks, internationalization of small and entrepreneurial firms, and outsourcing and offshoring.
Structural Equation Models
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Author : J. Christopher Westland
language : en
Publisher: Springer
Release Date : 2020-05-01
Structural Equation Models written by J. Christopher Westland and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-01 with Technology & Engineering categories.
This new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that are growing in importance. SEM’s ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.
Subspace Latent Structure And Feature Selection
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Author : Craig Saunders
language : en
Publisher: Springer
Release Date : 2006-05-24
Subspace Latent Structure And Feature Selection written by Craig Saunders and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-24 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.
Modern Methods For Business Research
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Author : George A. Marcoulides
language : en
Publisher: Psychology Press
Release Date : 1998-03-01
Modern Methods For Business Research written by George A. Marcoulides and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-01 with Business & Economics categories.
This volume introduces the latest popular methods for conducting business research. The goal of each chapter author--a leading authority in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling. The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.
Composite Based Structural Equation Modeling
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Author : Jörg Henseler
language : en
Publisher: Guilford Publications
Release Date : 2020-12-24
Composite Based Structural Equation Modeling written by Jörg Henseler and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-24 with Social Science categories.
This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Jörg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importance–performance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides.
Basics Of Structural Equation Modeling
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Author : Geoffrey M. Maruyama
language : en
Publisher: SAGE Publications
Release Date : 1997-09-22
Basics Of Structural Equation Modeling written by Geoffrey M. Maruyama and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-09-22 with Social Science categories.
With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.