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Multilevel Modeling Using R, Finch, W. Holmes , Bolin, Jocelyn E. , Kelley, K


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Автор: Finch, W. Holmes , Bolin, Jocelyn E. , Kelley, K
Название:  Multilevel Modeling Using R
ISBN: 9781138480711
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1138480711
Обложка/Формат: Hardcover
Страницы: 252
Вес: 0.63 кг.
Дата издания: 17.05.2019
Серия: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Язык: English
Издание: 2 ed
Иллюстрации: 2 tables, black and white
Размер: 162 x 241 x 20
Читательская аудитория: Tertiary education (us: college)
Основная тема: Psychological Methods & Statistics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
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.

      Новое издание
Multilevel Modeling Using R

Автор: Finch, W Holmes ; Bolin, Jocelyn E ; Kelley, Ken
Название: Multilevel Modeling Using R
ISBN: 1032363967 ISBN-13(EAN): 9781032363967
Издательство: Taylor&Francis
Цена: 127600 T


Multilevel Modeling Using Mplus

Автор: Finch
Название: Multilevel Modeling Using Mplus
ISBN: 1498748244 ISBN-13(EAN): 9781498748247
Издательство: Taylor&Francis
Рейтинг:
Цена: 58170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. Presents the theory and practice of major multilevel modelling techniques using Mplus as the software tool.

Multilevel Modeling in Plain Language

Автор: Karen Robson and David Pevalin
Название: Multilevel Modeling in Plain Language
ISBN: 0857029150 ISBN-13(EAN): 9780857029157
Издательство: Sage Publications
Рейтинг:
Цена: 106650.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a real focus on the practical, this book provides students with a step-by-step approach, plenty of real-life examples, and downloadable data and exercises on the accompanying study website to help take the fear and intimidation out of multilevel modeling

Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples

Автор: Little Todd D., Schnabel Kai U., Baumert Jrgen
Название: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
ISBN: 113801253X ISBN-13(EAN): 9781138012530
Издательство: Taylor&Francis
Рейтинг:
Цена: 57150.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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

Multilevel Analysis

Автор: Hox
Название: Multilevel Analysis
ISBN: 1138121363 ISBN-13(EAN): 9781138121362
Издательство: Taylor&Francis
Рейтинг:
Цена: 59190.00 T
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.


Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Автор: Ronald H Heck, Scott Thomas, Lynn Tabata
Название: Multilevel Modeling of Categorical Outcomes Using IBM SPSS
ISBN: 1848729553 ISBN-13(EAN): 9781848729551
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

An Introduction to Multilevel Modeling Techniques

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182440 ISBN-13(EAN): 9780367182441
Издательство: Taylor&Francis
Рейтинг:
Цена: 59190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

An Introduction to Multilevel Modeling Techniques

Автор: Heck, Ronald , Thomas, Scott L.
Название: An Introduction to Multilevel Modeling Techniques
ISBN: 0367182424 ISBN-13(EAN): 9780367182427
Издательство: Taylor&Francis
Рейтинг:
Цена: 178640.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.

Multilevel Modeling in Plain Language

Автор: Robson Karen
Название: Multilevel Modeling in Plain Language
ISBN: 0857029169 ISBN-13(EAN): 9780857029164
Издательство: Sage Publications
Рейтинг:
Цена: 32730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a real focus on the practical, this book provides students with a step-by-step approach, plenty of real-life examples, and downloadable data and exercises on the accompanying study website to help take the fear and intimidation out of multilevel modeling

Multilevel structural equation 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: 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.

Multilevel Modeling

Автор: Garson George
Название: Multilevel Modeling
ISBN: 1544319290 ISBN-13(EAN): 9781544319292
Издательство: Sage Publications
Рейтинг:
Цена: 88710.00 T
Наличие на складе: Поставка под заказ.
Описание: Providing a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences.

Multilevel Modeling Using R

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.


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