Автор: Liu, Xing Название: Categorical data analysis and multilevel modeling using r ISBN: 1544324901 ISBN-13(EAN): 9781544324906 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Нет в наличии. Описание:
Categorical Data Analysis and Multilevel Modeling Using Rprovides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.
Автор: Rabe-hesketh, Sophia (university Of California, Berkeley, Usa) Skrondal, Anders (london School Of Economics, Uk) Название: Multilevel and longitudinal modeling using stata, volume i ISBN: 1597181374 ISBN-13(EAN): 9781597181372 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Is it really possible to enjoy the Old Testament? Eric Seibert understands why many Christians find this part of the Bible confusing, theologically troubling, or just uninteresting. Offering dozens of practical exercises for hands-on interaction with the text, this unique resource equips readers with a variety of creative approaches to bring even the seemingly dry passages to life.
Автор: Finch W. Holmes, Bolin Jocelyn E., Kelley Ken Название: Multilevel Modeling Using R ISBN: 1138480673 ISBN-13(EAN): 9781138480674 Издательство: Taylor&Francis Рейтинг: Цена: 60220.00 T Наличие на складе: Невозможна поставка. Описание: This book focuses on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using R as the software tool, and demonstrating the various functions available for these analyses in R.
Автор: Heck, Ronald H Название: Multilevel Modeling of Categorical Outcomes Using IBM SPSS ISBN: 1848729561 ISBN-13(EAN): 9781848729568 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Barreda, Santiago Название: Bayesian Multilevel Models for Repeated Measures Data ISBN: 1032259620 ISBN-13(EAN): 9781032259628 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Barreda, Santiago Название: Bayesian Multilevel Models for Repeated Measures Data ISBN: 1032259639 ISBN-13(EAN): 9781032259635 Издательство: Taylor&Francis Рейтинг: Цена: 54090.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Snijders Tom Название: Multilevel Analysis ISBN: 184920201X ISBN-13(EAN): 9781849202015 Издательство: Sage Publications Рейтинг: Цена: 58080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The classic text in multilevel analysis, dealing with everything you need to know, has been hugely revised and added to and is supported by all the software. A must-have for modellers.
Автор: Grimm Kevin J., Ram Nilam, Estabrook Ryne Название: Growth Modeling: Structural Equation and Multilevel Modeling Approaches ISBN: 1462526063 ISBN-13(EAN): 9781462526062 Издательство: Taylor&Francis Рейтинг: Цена: 75530.00 T Наличие на складе: Невозможна поставка. Описание: Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model`s results. Pedagogical Features: *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader`s own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book`s examples, along with additional code in SAS/R for linear mixed-effects modeling.
Автор: Silva, Bruno Castanho Название: Multilevel structural equation modeling ISBN: 1544323050 ISBN-13(EAN): 9781544323053 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Нет в наличии. Описание: Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.
Автор: Douglas A. Luke Название: Multilevel Modeling ISBN: 1544310307 ISBN-13(EAN): 9781544310305 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
Автор: Little, Todd D. Название: Modeling Longitudinal and Multilevel Data ISBN: 0805830545 ISBN-13(EAN): 9780805830545 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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