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.
Описание: Examines the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data, including current best practices of standard techniques. This volume will be particularly useful to researchers in educational policy, educational psychology including school psychology and special education, and clinical psychology.
Автор: Smith Robert B. Название: Multilevel Modeling of Social Problems: A Causal Perspective ISBN: 9048198542 ISBN-13(EAN): 9789048198542 Издательство: Springer Рейтинг: Цена: 24392.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uniquely focusing on intersections of social problems, multilevel statistical modeling, and causality; These models are also referred to as hierarchical linear models (HLMs) or mixed models.
Автор: Robert B. Smith Название: Multilevel Modeling of Social Problems ISBN: 9401784310 ISBN-13(EAN): 9789401784313 Издательство: Springer Рейтинг: Цена: 29150.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uniquely focusing on intersections of social problems, multilevel statistical modeling, and causality; These models are also referred to as hierarchical linear models (HLMs) or mixed models.
Описание: Examines the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data, including current best practices of standard techniques. This volume will be particularly useful to researchers in educational policy, educational psychology including school psychology and special education, and clinical psychology.
Автор: Francis L. Huang Название: Practical Multilevel Modeling Using R ISBN: 1071846124 ISBN-13(EAN): 9781071846124 Издательство: Sage Publications Рейтинг: Цена: 14731.00 р. Наличие на складе: Поставка под заказ.
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: Heck, Ronald H Название: Multilevel Modeling of Categorical Outcomes Using IBM SPSS ISBN: 1848729561 ISBN-13(EAN): 9781848729568 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.
Автор: Altman Eitan, Avrachenkov Konstantin, De Pellegrini Francesco Название: Multilevel Strategic Interaction Game Models for Complex Networks ISBN: 3030244571 ISBN-13(EAN): 9783030244576 Издательство: Springer Цена: 9756.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface
Part I Multi-Level Evolutionary Games
Chapter 1 Introduction
Chapter 2 Altruism in Groups 2.1 Classical Evolutionary Games and ESS; 2.2 New natural concept on evolutionary games; 2.3 Analysis of N-groups games with two strategies; 2.4 Some Examples; 2.5 Multiple Access Control; 2.6 Conclusions
Chapter 3 From Egoism to Altruism in Groups 3.1 System Model; 3.2 Utility Functions; 3.3 Computing the ESS; 3.4 Replicator Dynamics; 3.5 Optimization Issues; 3.6 Numerical Results; 3.7 Conclusion
Chapter 4 Evolutionary Games in Interacting Communities 4.1 Introduction; 4.2 Evolutionarily Stable Strategies; 4.3 Two-community two-strategy model; 4.4 Replicator Dynamics; 4.5 Application to Hawk- Dove game; 4.6 Interacting communities on random graphs; 4.7 Conclusion; 4.8 Proofs
Chapter 5 Random Time Delays in Evolutionary Game Dynamics 5.1 Evolutionary Games; 5.2 Replicator dynamics with continuous random delays; 5.3 Replicator dynamics with one delayed strategy; 5.4 Conclusions; 5.5 Proof of Theorem 8; 5.6 Proof of Theorem 10
Chapter 6 Coupled State Policy Dynamics in Evolutionary Games 6.1 Standard Evolutionary Game Theory; 6.2 Individual State in EGT framework; 6.3 Two time-scales behavior; 6.4 Numerical Illustrations; 6.5 Conclusions and perspectives
Part II Epidemics/Information Diffusion
Chapter 7 Introduction
Chapter 8 Community Network with Equitable Partitions 8.1 Equitable Partitions; 8.2 Example; 8.3 Almost equitable partitions; 8.4 Conclusion
Chapter 9 Epidemic Spreading on Interconnected Networks 9.1 Effect on the Epidemic Threshold; 9.2 Effect of the Spatial Constraints of Interconnected Networks
Chapter 10 Co-Evolution/ Adaptive Epidemics 10.1 Adaptive SIS model; 10.2 Comparison of the ASIS and AID model; 10.3 Conclusion
Part III Networking Games
Chapter 11 Introduction
Chapter 12 "Beat your Rival" Routing Games 12.0.1 Solution concept; 12.1 Model and Game Theoretic Formulations; 12.2 Bottleneck Routing Games; 12.3 Additive Routing Games; 12.4 Conclusions
Chapter 13 Network Formation Games with Teams 13.1 Network Formation Games with Teams: Basic definitions; 13.2 Network Formation Games with Teams: A Motivating Example; 13.3 Stability of Networks Against Teams' Coalitions; 13.4 Dynamic formation of networks under coalitions; 13.5 Simulation Results; 13.6 Conclusions
Chapter 14 Peering vs Transit: A game theoretical model for autonomous systems connectivity 14.1 Introduction; 14.2 Related Work; 14.3 Scenario; 14.4 General Model; 14.5 Minimal Complexity Model (MCM); 14.6 Simulations; 14.7 Conclusions; 14.8 Appendix
Chapter 15 Network Neutrality 15.1 Introduction; 15.2 Computing the equilibrium; 15.3 Paradox and Price of Anarchy; 15.4 Collusions and Conclusions
Part IV Intermittency in Complex Systems
Chapter 16 Introduction
17 Models with Adaptive Intermittent Behavior 17.1 Tangled Nature Model; 17.2 The Stochastic Replicator Model
Chapter 18 Outline of the Forecasting Procedure 18.1 Mean-Field Description; 18.2 Linear Stability Theory: Continuum Approximation; 18.3 TNM Mean Field Description; 18.4 SRM Mean Field Description
Chapter 19 Forecasting Procedure Based on Full Information 19.1 Procedure; 19.2 Results; 19.3 Analysis of the Stability Indicator Q(t); 19.4 Discussion
Chapter 20 Procedures with Incomplete Information 20.1 Interactions with Error; 20.2 New Procedure; 20.3 Results; 20.4
Chapter 21 Conclusion
Автор: Sonya Bahar Название: The Essential Tension ISBN: 940241052X ISBN-13(EAN): 9789402410525 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part III addresses experimental studies of cooperation and competition, as well as controversial ideas such as the evolution of evolvability and Stephen Jay Gould`s suggestion that "spandrels" at one level of selection serve as possible sources of variability for the next higher level.
Автор: Silva, Bruno Castanho Название: Multilevel structural equation modeling ISBN: 1544323050 ISBN-13(EAN): 9781544323053 Издательство: Sage Publications Рейтинг: Цена: 6493.00 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.
Описание: Intraindividual variability (IIV) of human development and behavior across the entire life-span is explored in this new book. Leading researchers summarize recent findings on the extent, role, and function of IIV in human development with a focus on how, when, and why individuals change over time. The latest theoretical, methodological, and technological advances are reviewed. The book explores the historical and theoretical background and challenges of IIV research along with its role and function in childhood, adolescence, and adulthood. Edited to maximize consistency and accessibility, each chapter includes an introduction and a review of the research and most explore future directions, new theoretical developments, and conclusions and implications. Readers are shown that by focusing on the individual as a unit of analysis across different time scales, conditions, and situations, researchers can effectively demonstrate behavioral and developmental regularities at different points of the life-span. As such this book is a must have for anybody interested in IIV research. The book explores: -New designs and methods for the analysis of intensive repeated measures data. -The importance of real-time data for more time sensitive and ecologically valid measurements. -The role and function of intraindividual variability in behavior and development across the life-span -- from infancy to later life. -Numerous examples of how intraindividual variability research is conducted. -Topics and findings that are commonly treated in disparate bodies of literature from various disciplines. Part 1 provides a historical, conceptual, and methodological overview of the study of intraindividual variability (IIV). IIV during childhood and adolescence and its application in the investigation of development of language acquisition, infant-parent interactions, development of motor skills, cognitive development, mood regulation, and identity development are examined in Part 2. Part 3 focuses on IIV during adult development, including its use in neuropsychological functioning and attention and in personality development and mood regulation. IIV in the context of adults’ health behavior is also reviewed. Part 4 examines the key issues and challenges of IIV research in human development such as whether IIV in adult development is an indicator of vulnerability or resilience, the association between short-term IIV and long-term developmental change, and multiple time-scale design and analysis. The volume concludes with a look at the future of intraindividual variation analysis. Intended for advanced students and researchers in developmental psychology across the life-span, social, personality, and health psychology, as well as sociology, family studies, gerontology, education, and medicine, interested in intraindividual variability of behavior and its role in human development, this book also serves as a text for graduate courses on longitudinal analysis, multilevel modeling, and/or (advanced) data analysis offered in these departments. Knowledge in human development or life course sociology and graduate-level statistics is recommended.
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