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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

ALS --- MND --- PLS --- SMA --- SBMA --- PPS --- PMA --- biomarker

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Medicine --- Neurology & clinical neurophysiology --- ALS --- MND --- PLS --- SMA --- SBMA --- PPS --- PMA --- biomarker

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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM

Finance --- Least squares. --- R (Computer program language) --- Structural equation modeling. --- Mathematical models. --- Open Access --- PLS-SEM) Using R --- Workbook --- Partial Least Squares Structural Equation Modeling --- R Software Environment

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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM

Finance --- Least squares. --- R (Computer program language) --- Structural equation modeling. --- Open Access --- PLS-SEM) Using R --- Workbook --- Partial Least Squares Structural Equation Modeling --- R Software Environment --- Mathematical models.

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This book includes the 14 articles accepted and published in the Special Issue “Partial Least Squares Structural Equation Modeling (PLS-SEM): Applications in Economics and Finance” of the MDPI journal Mathematics, which encompasses a wide range of topics connected with the theory and applications of PLS-SEM methodology. These topics involve, among others, prediction of stock market investment intention, institutional quality and international competitiveness, governance paradigms and public innovation, information and communication technologies in the supply chain, influence of the ability to absorb information from the environment and proactivity on the company's results, quality management, effects of the corporate social responsibility on financial performance, resource management for the improvement of the healthcare system, and the application of maximum entropy bootstrapping to time series. It is expected that the book will prove worthwhile and helpful for those working in the area of PLS-SEM, regardless of the field of application (economics, finance, marketing, education or other). Applications of higher order constructs, mediating variables, multigroup analysis and the latest advances in applied methodology can all be found in this book.

Research & information: general --- Mathematics & science --- self-consciousness --- e-commerce --- consumer behavior --- Technology Acceptance Model --- risk tolerance --- financial well-being --- financial literacy --- overconfidence bias --- herding behavior --- social interaction --- investment intention --- stock market participation --- institutional quality --- international competitiveness --- emerging economies --- PLS-SEM --- lean manufacturing --- quality management --- commercial performance --- wastes --- DIRFT --- luxury fashion goods --- status consumption --- status quo --- clothing innovativeness --- clothing involvement --- PLS-PM --- public service logic --- new public management --- innovation --- co-creation --- co-production --- Spain --- cognitive destination image --- cruise --- satisfaction --- loyalty --- behavioral intention --- structural equation modeling --- National Health Services --- health–disease status --- health system performance --- health system sustainability --- health policy --- healthcare quality --- partial least squares structural equation modeling (PLS-SEM) --- structural equation model --- information and communication technology --- ICT integration --- PLS-SEM bootstrapping --- PLS-SEM with time series --- marketing mix modeling --- maximum entropy bootstrapping --- proactivity --- absorptive capacity --- potential absorptive capacity --- realised absorptive capacity --- structural equation modelling --- video tutorials --- blended learning --- online learning --- financial mathematics --- COVID-19 --- autonomy --- effectiveness --- CO2 emissions --- ESDA --- China --- corporate social responsibility --- corporate performance --- human resources management --- customer satisfaction --- partial least squares structural equation modelling (PLS-SEM)