Multilevel and longitudinal modeling with ibm spss, Heck, Ronald H. (university Of Hawaii, Manoa) Thomas, Scott L. (university Of Vermont, Usa) Tabata, Lynn N. (university Of Hawaii, Manoa)

Автор: Bolger, Niall.
Название: Intensive Longitudinal Methods
ISBN: 146250678X ISBN-13(EAN): 9781462506781
Издательство: Taylor&Francis
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Цена: 52050.00 T
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Описание: This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).

Автор: Akiva M. Liberman
Название: The Long View of Crime: A Synthesis of Longitudinal Research
ISBN: 1441924310 ISBN-13(EAN): 9781441924315
Издательство: Springer
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Цена: 121110.00 T
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Описание: This volume examines longitudinal research in relation to crime and delinquency, and brings together prominent scholars in criminology to discuss theory, methodology, and impact of longitudinal studies in criminology. It answers a key question in Criminology: What have we learned from recent longitudinal studies of crime and delinquency?

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
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Цена: 55970.00 T
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Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

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: 51030.00 T
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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: 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
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Цена: 148010.00 T
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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.

Автор: Derrington, Mary L.
Название: Qualitative longitudinal methods
ISBN: 1506395791 ISBN-13(EAN): 9781506395791
Издательство: Sage Publications
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Цена: 39060.00 T
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Описание: Mary Lynne Derrington provides guidance on how to conduct qualitative longitudinal studies rather than focusing on how to analyse such data.

Автор: Silva, Bruno Castanho
Название: Multilevel structural equation modeling
ISBN: 1544323050 ISBN-13(EAN): 9781544323053
Издательство: Sage Publications
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Цена: 39060.00 T
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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: Douglas A. Luke
Название: Multilevel Modeling
ISBN: 1544310307 ISBN-13(EAN): 9781544310305
Издательство: Sage Publications
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Цена: 39060.00 T
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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: Chen Ding-Geng (Din), Chen Jenny K.
Название: Statistical Regression Modeling with R: Longitudinal and Multi-Level Modeling
ISBN: 3030675823 ISBN-13(EAN): 9783030675820
Издательство: Springer
Цена: 79190.00 T
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Описание: It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data.

Автор: Chen Ding-Geng (Din), Chen Jenny K.
Название: Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling
ISBN: 3030675858 ISBN-13(EAN): 9783030675851
Издательство: Springer
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Цена: 79190.00 T
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Описание: It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data.

Автор: Robert E. Weiss
Название: Modeling Longitudinal Data
ISBN: 1441923217 ISBN-13(EAN): 9781441923219
Издательство: Springer
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Цена: 80080.00 T
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Описание:

Автор: Bren Neale
Название: What is Qualitative Longitudinal Research?
ISBN: 1472527674 ISBN-13(EAN): 9781472527677
Издательство: Bloomsbury Academic
Цена: 58080.00 T
Наличие на складе: Невозможна поставка.
Описание: This volume offers a new introduction to an evolving research method in the social sciences. Qualitative Longitudinal (QL) research is conducted through time. In its qualitative dimensions it opens up the potential to ‘think dynamically’ in creative, flexible and innovative ways. QL enquiry is rooted in a long-established tradition of qualitative temporal research, spanning the fields of social anthropology, sociological re-studies and biographical research. But over the past two decades, a growing body of scholarship has begun to document this approach and explore its theoretical underpinnings. This in turn has fuelled a growing interest in and rapid uptake of QL methodology across the disciplines and in international context. This practical volume will be a first port of call for students and researchers wishing to use QL research in their own projects. The chapters follow a logical development, from conceptual and methodological foundations, to research practice and ethics, to the generation and analysis of data. Each chapter offers practical examples drawn from the research field to illustrate key themes and the rich possibilities for new applications.