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.
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.
No matter if I fall, I get up again. If I fall 5,000 times, I will stand up another 5,000 times.' -- William, a 37-year-old from El Gorri n, Colombia Why and how do some people move out of poverty and stay out while others remain trapped? Most books on growth and poverty reduction are dominated by the perspectives of policy makers and academic experts. In contrast, 'Moving Out of Poverty: Success from the Bottom Up' presents the experiences of poor people who have made it out of poverty. The book's findings draw from the Moving Out of Poverty research conducted in communities in 15 countries in Africa, East Asia, Latin America, and South Asia. The authors synthesize the results of qualitative and quantitative research based on discussions with over 60,000 people in rural areas. They offer bottom-up perspectives on the processes and local institutions that play key roles in escapes from poverty. The study finds that there are no differences in the initiatives taken by the poor, the rich, and the upwardly mobile. What, then, explains the difference in outcomes? The authors demonstrate how in the face of deep social inequalities that block access to economic opportunities and local democracies individual initiative and empowerment by themselves are often not enough to escape poverty. This book will be of interest to all concerned with equity in an increasingly unequal world.
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