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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
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.
Applying Partial Least Squares in Tourism and Hospitality Research
Ten chapters discuss key aspects of advanced PLS analysis and its practical applications, covering new guidelines and improvements in the use of PLS-PM as well as various individual topics.
Partial Least Squares Structural Equation Modeling
This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by exa...
Recovering Australian Threatened Species
Australia’s nature is exceptional, wonderful and important. But much has been lost, and the ongoing existence of many species now hangs by a thread. Against a relentless tide of threats to our biodiversity, many Australians, and government and non-government agencies, have devoted themselves to the challenge of conserving and recovering plant and animal species that now need our help to survive. This dedication has been rewarded with some outstanding and inspiring successes: of extinctions averted, of populations increasing, of communities actively involved in recovery efforts. Recovering Australian Threatened Species showcases successful conservation stories and identifies approaches and ...
The Cambridge Handbook of Artificial Intelligence
An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.
Masks in Horror Cinema
First critical exploration of the history and endurance of masks in horror cinema Written by an established , award-winning author with a strong reputation for research in both academia and horror fans Interdisciplinary study that incorporates not only horror studies and cinema studies, but also utilises performance studies, anthropology, Gothic studies, literary studies and folklore studies.
Towards a sustainable, participatory and inclusive wild meat sector
The meat of wild species, referred to in this report as ‘wild meat’, is an essential source of protein and a generator of income for millions of forest-living communities in tropical and subtropical regions. However, unsustainable harvest rates currently
Machine Learning: Concepts, Methodologies, Tools and Applications
"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe
B Is for Bad Cinema
Considers films that lurk on the boundaries of acceptability in taste, style, and politics. B Is for Bad Cinema continues and extends, but does not limit itself to, the trends in film scholarship that have made cult and exploitation films and other low genres increasingly acceptable objects for critical analysis. Springing from discussions of taste and value in film, these original essays mark out the broad contours of badthat is, aesthetically, morally, or commercially disreputablecinema. While some of the essays share a kinship with recent discussions of B movies and cult films, they do not describe a single aesthetic category or represent a single methodology or critical agend...
Advances in Neural Information Processing Systems 15
Proceedings of the 2002 Neural Information Processing Systems Conference.
