Power analysis of trials with multilevel data, Moerbeek, Mirjam Teerenstra, Steven
Автор: Silva, Bruno Castanho Название: Multilevel structural equation modeling ISBN: 1544323050 ISBN-13(EAN): 9781544323053 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Поставка под заказ.
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: Jan Deleeuw; H. Goldstein; Erik Meijer Название: Handbook of Multilevel Analysis ISBN: 1441925120 ISBN-13(EAN): 9781441925121 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples.
Автор: Hox, Joop J. Moerbeek, Mirjam Название: Multilevel analysis ISBN: 1138121401 ISBN-13(EAN): 9781138121409 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.
Автор: Hox Название: Multilevel Analysis ISBN: 1138121363 ISBN-13(EAN): 9781138121362 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.
Автор: Snijders Tom Название: Multilevel Analysis ISBN: 184920201X ISBN-13(EAN): 9781849202015 Издательство: Sage Publications Рейтинг: Цена: 8712.00 р. 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.
Описание: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior
Автор: Heck, Ronald , Thomas, Scott L. Название: An Introduction to Multilevel Modeling Techniques ISBN: 0367182424 ISBN-13(EAN): 9780367182427 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.
Описание: Part I: Theoretical, conceptual and methodological background.- Chapter 1: Introduction.- Chapter 2: Health in context.- Chapter 3: What is multilevel modelling?.- Chapter 4: Multilevel data structures.- Part II: Statistical background.- Chapter 5: Graphs and equations.- Chapter 6: Apportioning variation in multilevel models.- Part III: The modelling process and presentation of research.- Chapter 7: Context, composition and how their influences vary.- Chapter 8: Ecometrics: Using MLA to construct contextual variables from individual data.- Chapter 9: Modelling strategies.- Chapter 10: Reading and writing.- Part IV: Tutorials with example datasets.- Chapter 11: Multilevel linear regression using MLwiN: Mortality in England and Wales, 1979-1992.- Chapter 12. Multilevel logistic regression using MLwiN: Referrals to physiotherapy.- Chapter 13. Untangling context and composition using MLwiN: Incidence of cardiovascular disease in small areas in Scotland.
Автор: Finch, W. Holmes , Bolin, Jocelyn E. , Kelley, K Название: Multilevel Modeling Using R ISBN: 1138480711 ISBN-13(EAN): 9781138480711 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Поставка под заказ.
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.
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