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Wang Jichuan Structural Equation Modeling. Applications Using Mplus Wang Jichuan Structural Equation Modeling. Applications Using Mplus Новинка

Wang Jichuan Structural Equation Modeling. Applications Using Mplus

A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of various SEM models are demonstrated along with recently developed advanced methods, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The statistical modeling program, Mplus, is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results. Key features: Presents a useful reference guide for applications of SEM whilst systematically demonstrating various advanced SEM models, such as multi-group and mixture models using Mplus. Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Provides step-by-step instructions of model specification and estimation, as well as detail interpretation of Mplus results. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this book, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book.
Kenneth Kahn B. The PDMA Handbook of New Product Development Kenneth Kahn B. The PDMA Handbook of New Product Development Новинка

Kenneth Kahn B. The PDMA Handbook of New Product Development

10732.01 руб. Найти похожее
New Product Development is one of the most important challenges facing organizations today. The Product Development and Management Association (PDMA) Handbook of New Product Development 3rd Edition provides an exceptional review of cutting edge topics for both new and experienced product development leaders. It offers a comprehensive and updated guide to the practices, processes and tools critical to achieving and sustaining new product/service development success in today’s world, delivering valuable information about the fundamentals as well as emerging practices such as venturing, virtual product development and the use of social media in NPD. As the premier global advocate for professionals and organizations working in the fields of new product/service development, PDMA has assembled in the Handbook unique content on the critical aspects of product development success including its 2012 Best Practices Research, Lessons Learned from its Outstanding Corporate Innovator Award Winners and keys to success from organizations with proven innovation track records. The 3rd Edition is an essential reference for anyone with responsibility for product development activities, from novices looking for fundamentals to experts seeking insights on emerging concepts, and is relevant for all functions and all product/service industries.

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A reference guide for applications of SEM using Mplus Structural Equation Modeling: Applications Using Mplus is intended as both a teaching resource and a reference guide. Written in non-mathematical terms, this book focuses on the conceptual and practical aspects of Structural Equation Modeling (SEM). Basic concepts and examples of various SEM models are demonstrated along with recently developed advanced methods, such as mixture modeling and model-based power analysis and sample size estimate for SEM. The statistical modeling program, Mplus, is also featured and provides researchers with a flexible tool to analyze their data with an easy-to-use interface and graphical displays of data and analysis results. Key features: Presents a useful reference guide for applications of SEM whilst systematically demonstrating various advanced SEM models, such as multi-group and mixture models using Mplus. Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Provides step-by-step instructions of model specification and estimation, as well as detail interpretation of Mplus results. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this book, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book.
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