Find tips, reviews, and features on Latent Variable Models An Introduction sold for 60.26 $ , available in the Books & Magazines category; this product belongs to and is sold by Abebooks.com.
This book introduces multiplelatent variable models by utilizing path diagrams to explain the underlying relationships in the models This approach helps less mathematically inclined students grasp the underlying relationships between path analysis factor analysis and structural equation modeling more easily A few sections of the book make use of elementary matrix algebra An appendix on the topic is provided for those who need a review The author maintains an informal style so as to increase the books accessibility Notes at the end of each chapter provide some of the more technical details The book is not tied to a particular computer program but special attention is paid to LISREL EQS AMOS and Mx New in the fourth edition of Latent Variable Models a data CD that features the correlation and covariance matrices used in the exercises new sections on missing data nonnormality mediation factorial invariance and automating the construction of path diagrams and reorganization of chapters 37 to enhance the flow of the book and its flexibility for teaching Intended for advanced students and researchers in the areas of social educational clinical industrial consumer personality and developmental psychology sociology political science and marketing some prior familiarity with correlation and regression is helpful
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Find tips, reviews, and features on Latent Variable Models sold for 24.49 $ , available in the Books & Magazines category; this product belongs to and is sold by Abebooks.com.
Latent Variable Models An Introduction to Factor Path and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models This approach helps less mathematicallyinclined readers to grasp the underlying relations among path analysis factor analysis and structural equation modeling and to set up and carry out such analyses This revised and expanded fifth edition again contains key chapters on path analysis structural equation models and exploratory factor analysis In addition it contains new material on composite reliability models with categorical data the minimum average partial procedure bifactor models and communicating about latent variable models The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds Notes at the end of each chapternbspexpand the discussion and provide additional technical detail and references Moreover most chapters contain an extended example in which the authors work through one of the chapters examples in detail to aid readers in conducting similar analyses with their own data The book and accompanying website provide all of the data for the books examples as well as syntax from latent variable programs so readers can replicate the analyses The book can be used with any of a variety of computer programs but special attention is paid to LISREL and R An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences education business and health sciences Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables
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This book unifies and extends latent variable models including multilevel or generalized linear mixed models longitudinal or panel models item response or factor models latent class or finite mixture models and structural equation models Following a gentle introduction to latent variable modeling the authors clearly explain and contrast a wide range of estimation and prediction methods from biostatistics psychometrics econometrics and statistics They present exciting and realistic applications that demonstrate how researchers can use latent variable modeling to solve concrete problems in areas as diverse as medicine economics and psychology The examples considered include many nonstandard response types such as ordinal nominal count and survival data Joint modeling of mixed responses such as survival and longitudinal data is also illustrated Numerous displays figures and graphs make the text vivid and easy to read About the authors Anders Skrondal is Professor and Chair in Social Statistics Department of Statistics London School of Economics UK Sophia RabeHesketh is a Professor of Educational Statistics at the Graduate School of Education and Graduate Group in Biostatistics University of California Berkeley USA
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Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective This book presents a general framework to enable the derivation of the commonly used models along with updated numerical examples Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency This book Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family Presents new material on ordered manifest variables MCMC methods nonlinear models as well as a new chapter on related techniques for investigating dependency Includes new sections on structural equation models SEM and Markov Chain Monte Carlo methods for parameter estimation along with new illustrative examples Looks at recent developments on goodnessoffit test statistics and on nonlinear models and models with mixed latent variables both categorical and continuous No prior acquaintance with latent variable modelling is presupposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective Applied statisticians psychometricians medical statisticians biostatisticians economists and social science researchers will benefit from this book
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Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective This book presents a general framework to enable the derivation of the commonly used models along with updated numerical examples Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency This book Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family Presents new material on ordered manifest variables MCMC methods nonlinear models as well as a new chapter on related techniques for investigating dependency Includes new sections on structural equation models SEM and Markov Chain Monte Carlo methods for parameter estimation along with new illustrative examples Looks at recent developments on goodnessoffit test statistics and on nonlinear models and models with mixed latent variables both categorical and continuous No prior acquaintance with latent variable modelling is presupposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective Applied statisticians psychometricians medical statisticians biostatisticians economists and social science researchers will benefit from this book
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Latent Variable Models An Introduction to Factor Path and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models This approach helps less mathematicallyinclined readers to grasp the underlying relations among path analysis factor analysis and structural equation modeling and to set up and carry out such analyses This revised and expanded fifth edition again contains key chapters on path analysis structural equation models and exploratory factor analysis In addition it contains new material on composite reliability models with categorical data the minimum average partial procedure bifactor models and communicating about latent variable models The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds Notes at the end of each chapternbspexpand the discussion and provide additional technical detail and references Moreover most chapters contain an extended example in which the authors work through one of the chapters examples in detail to aid readers in conducting similar analyses with their own data The book and accompanying website provide all of the data for the books examples as well as syntax from latent variable programs so readers can replicate the analyses The book can be used with any of a variety of computer programs but special attention is paid to LISREL and R An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences education business and health sciences Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables
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The HOYA 72mm Variable Density II Filter is a highquality adjustable density filter that offers a versatile ND range from 15 to 9 fstops ND3400 This professionalgrade filter is an upgrade from the previous HOYA Variable Density model featuring a newly designed rotatable frame with a convenient knob for enhanced operation Variable Density Filters are essential tools for photographers and videographers alike They offer the flexibility to replace a set of solid ND filters by providing an adjustable range of density tailored to your desired exposure settings In still photography these filters allow you to lower the shutter speed according to your creative intentions even when camera limits prevent a lower shutter speed They also increase the amount of bokeh in overlit conditions preventing image overexposure and enhancing the overall image qualityIn video shooting maintaining the correct shutter speed to match the frame rate setting is crucial The HOYA Variable Density II Filter allows you to adjust the shutter speed to double the frame rate for optimal results avoiding the jarring effect and afterimages that can occur with excessively fast shutter speeds The HOYA Variable Density II Filter incorporates an exclusive rotatable frame construction consisting of a fixed frame and a rotatable frame This design minimizes the risk of vignetting when used on wideangle lenses However please be aware of the potential for vignetting with APSC size wideangle lenses at focal lengths less than 13mm and Full Frame wideangle lenses at focal lengths less than 24mm Due to its specific structure the HOYA Variable Density II Filter can accommodate a lens cap one size larger than the filter itself For example a 77mm HOYA Variable Density II can take an 82mm lens cap This durable filter provides the freedom to change the shutter speed for longer exposures without altering the aperture making it ideal for creating motion blur effects like waterfalls cars or blurred panning movement It also allows for wider apertures in overlit conditions decreasing depthoffield and focusing attention on the subject The HOYA Variable Density II Filter is an invaluable tool for preventing overexposure Even with a shutter speed of 18000 seconds a large aperture of f14 or f12 can cause overexposure This filter allows you to adjust the light intake avoiding overexposure issues For video bloggers and professional video content creators the Variable Density Filter is a musthave It allows cinevideo cameras to set the appropriate exposures in bright lighting conditions achieving a cinematic look With the HOYA Variable Density II Filter you gain control versatility and efficiency in your photography and videography endeavors
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