Автор: Emily Gilbert Название: Understanding Longitudinal Data ISBN: 1529727243 ISBN-13(EAN): 9781529727241 Издательство: Sage Publications Рейтинг: Цена: 112990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Do you want to use longitudinal data in a research project? This book provides a strong foundation in the fundamentals of longitudinal research, helping you understand where your secondary data come from and discussing core issues in longitudinal research, such as study design, sampling, attrition and missing data.
Covering each step of the research process, from understanding theory through data collection and analysis to writing up, the book offers practical tools to give you confidence in working with longitudinal data. It also:
Supports your learning with features such as 'Check your Understanding' questions and further reading.
Examines challenges unique to longitudinal research - and offers solutions.
Explores the realities of using longitudinal data with over 25 case studies of research from across the globe including Australia, Germany, Malaysia, New Zealand, the UK and the US.
This straightforward guide is the perfect introduction to longitudinal research for students and researchers across the social sciences.
Автор: Watkins, Daphne C Название: Secondary data in mixed methods research ISBN: 1506389570 ISBN-13(EAN): 9781506389578 Издательство: Sage Publications Рейтинг: Цена: 36950.00 T Наличие на складе: Нет в наличии. Описание: Secondary Data in Mixed Methods Research by Daphne C. Watkins, is the latest contribution to the Mixed Methods Research Series. This brief text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well as identifying characteristics of datasets that make them good candidates for mixed methods projects.
Автор: Liu, Xing Название: Categorical data analysis and multilevel modeling using r ISBN: 1544324901 ISBN-13(EAN): 9781544324906 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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.
Автор: Gilbert, Emily Название: Understanding longitudinal data ISBN: 1529727235 ISBN-13(EAN): 9781529727234 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Do you want to use longitudinal data in a research project? This book provides a strong foundation in the fundamentals of longitudinal research, helping you understand where your secondary data come from and discussing core issues in longitudinal research, such as study design, sampling, attrition and missing data.
Covering each step of the research process, from understanding theory through data collection and analysis to writing up, the book offers practical tools to give you confidence in working with longitudinal data. It also:
Supports your learning with features such as 'Check your Understanding' questions and further reading.
Examines challenges unique to longitudinal research - and offers solutions.
Explores the realities of using longitudinal data with over 25 case studies of research from across the globe including Australia, Germany, Malaysia, New Zealand, the UK and the US.
This straightforward guide is the perfect introduction to longitudinal research for students and researchers across the social sciences.
Автор: Wicher Bergsma; Marcel A. Croon; Jacques A. Hagena Название: Marginal Models ISBN: 1441918736 ISBN-13(EAN): 9781441918734 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Marginal models are often the best way of answering research questions involving dependent observations. This comprehensive overview of the basic principles of marginal modeling offers a wide range of possible applications through many real world examples.
Автор: Robert E. Weiss Название: Modeling Longitudinal Data ISBN: 1441923217 ISBN-13(EAN): 9781441923219 Издательство: Springer Рейтинг: Цена: 80080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The book features many figures and tables illustrating longitudinal data and numerous homework problems.
The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material.
Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.
Автор: Little, Todd D. Название: Modeling Longitudinal and Multilevel Data ISBN: 0805830545 ISBN-13(EAN): 9780805830545 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Gayle, Professor Vernon (university Of Edinburgh, Uk) Lambert, Dr Paul (university Of Stirling, Uk) Название: Quantitative longitudinal data analysis ISBN: 1350188859 ISBN-13(EAN): 9781350188853 Издательство: Bloomsbury Academic Рейтинг: Цена: 20050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series.Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.
Название: Analysis of longitudinal data ISBN: 0199676755 ISBN-13(EAN): 9780199676750 Издательство: Oxford Academ Рейтинг: Цена: 55970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Brajendra C. Sutradhar Название: Longitudinal Categorical Data Analysis ISBN: 1493953206 ISBN-13(EAN): 9781493953202 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses.
Автор: Gayle, Professor Vernon (university Of Edinburgh, Uk) Lambert, Dr Paul (university Of Stirling, Uk) Название: Quantitative longitudinal data analysis ISBN: 1350188840 ISBN-13(EAN): 9781350188846 Издательство: Bloomsbury Academic Рейтинг: Цена: 63360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series.
Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.
Автор: Scott Duxbury Название: Longitudinal Network Models ISBN: 1071857738 ISBN-13(EAN): 9781071857731 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social scientist is left to wonder: Which model is most appropriate for my data? How should I get started with this modeling strategy? And how do I know if my model is any good? This book answers these questions. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.
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