Multilevel Modeling of Categorical Outcomes Using IBM SPSS, Heck, Ronald H

Автор: Field, Andy
Название: Discovering statistics using ibm spss statistics
ISBN: 1526419521 ISBN-13(EAN): 9781526419521
Издательство: Sage Publications
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Цена: 4213.00 р. 6019.00 -30%
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Описание: Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!

Автор: Liu, Xing
Название: Categorical data analysis and multilevel modeling using r
ISBN: 1544324901 ISBN-13(EAN): 9781544324906
Издательство: Sage Publications
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Цена: 18058.00 р.
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Описание:

Categorical Data Analysis and Multilevel Modeling Using R provides 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: Heck, Ronald H. (university Of Hawaii, Manoa) Thomas, Scott L. (university Of Vermont, Usa) Tabata, Lynn N. (university Of Hawaii, Manoa)
Название: Multilevel and longitudinal modeling with ibm spss
ISBN: 0367424614 ISBN-13(EAN): 9780367424619
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition:Thoroughly updated throughout to reflect

Автор: Finch
Название: Multilevel Modeling Using Mplus
ISBN: 1498748244 ISBN-13(EAN): 9781498748247
Издательство: Taylor&Francis
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Цена: 8726.00 р.
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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.

Автор: Rabe-hesketh, Sophia (university Of California, Berkeley, Usa) Skrondal, Anders (london School Of Economics, Uk)
Название: Multilevel and longitudinal modeling using stata, volume ii
ISBN: 1597181382 ISBN-13(EAN): 9781597181389
Издательство: Taylor&Francis
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Цена: 10717.00 р.
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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: Garson George
Название: Multilevel Modeling
ISBN: 1544319290 ISBN-13(EAN): 9781544319292
Издательство: Sage Publications
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Цена: 13306.00 р.
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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.

Автор: Heck, Ronald H. (university Of Hawaii, Manoa) Thomas, Scott L. (university Of Vermont, Usa) Tabata, Lynn N. (university Of Hawaii, Manoa)
Название: Multilevel and longitudinal modeling with ibm spss
ISBN: 0367424606 ISBN-13(EAN): 9780367424602
Издательство: Taylor&Francis
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Цена: 26796.00 р.
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Описание: Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition:Thoroughly updated throughout to reflect

Автор: Silva, Bruno Castanho
Название: Multilevel structural equation modeling
ISBN: 1544323050 ISBN-13(EAN): 9781544323053
Издательство: Sage Publications
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Цена: 5859.00 р.
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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: Melamed, David
Название: Applications of Regression for Categorical Outcomes Using R
ISBN: 0367894637 ISBN-13(EAN): 9780367894634
Издательство: Taylor&Francis
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Цена: 23734.00 р.
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Автор: Melamed, David
Название: Applications of Regression for Categorical Outcomes Using R
ISBN: 1032509511 ISBN-13(EAN): 9781032509518
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Автор: Francis L. Huang
Название: Practical Multilevel Modeling Using R
ISBN: 1071846124 ISBN-13(EAN): 9781071846124
Издательство: Sage Publications
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Цена: 13306.00 р.
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Описание: Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a "Test Yourself" section, and solutions are available on the instructor website for the book. A companion R package is available for use with this text.

Автор: Stokes Maura E., Davis Charles S., Koch Gary G.
Название: Categorical Data Analysis Using SAS, Third Edition
ISBN: 1607646641 ISBN-13(EAN): 9781607646648
Издательство: Неизвестно
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Цена: 23900.00 р.
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