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Friday, December 4, 2020 | History

3 edition of Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences found in the catalog.

Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

Alexander von Eye

Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

An introduction With Computer Illustrations

by Alexander von Eye

  • 113 Want to read
  • 7 Currently reading

Published by Lawrence Erlbaum .
Written in English

    Subjects:
  • Behavioural theory (Behaviourism),
  • Social research & statistics,
  • Social theory,
  • Social sciences,
  • Statistical Methods In The Social Sciences,
  • Sociology,
  • Statistics,
  • Psychology,
  • Statistical methods,
  • Methodology,
  • Research & Methodology,
  • Psychology & Psychiatry / Research,
  • Longitudinal studies,
  • Developmental - General

  • The Physical Object
    FormatHardcover
    Number of Pages256
    ID Numbers
    Open LibraryOL7937305M
    ISBN 100805831819
    ISBN 109780805831818

    An Introduction to Categorical Data Analysis, Second Edition. Author(s): Alan Agresti; First published: 7 August Analysis of Variance. Hypothesis Testing with Categorical Data: Chi-Square. Measures of Association with Nominal and Ordinal Data. Elaboration and Causal Analysis. Bivariate Correlation and Regression. Multivariate Correlation and Regression. For anyone in the social/behavioral sciences who needs an accessible introduction to statistics. New Developments in Categorical Data Analysis for the Social and Behavioral Sciences (Quantitative Methodology Series) View larger image By: L. Andries van der .


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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences by Alexander von Eye Download PDF EPUB FB2

This item: Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences: An Introduction with Computer by: 6. Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences book An introduction With Computer Illustrations By Alexander von Eye, Keith E.

NiedermeierCited by: 6. Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences: An introduction With Computer Illustrations - Kindle edition by Alexander von Eye, Keith E.

Niedermeier. Download it once and read it on your Kindle device, PC, phones or tablets. A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods.

Each chapter provides basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials, and exercises. Read "Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences An introduction With Computer Illustrations" by Alexander von Eye available from Rakuten Kobo.

A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the applicationBrand: Taylor And Francis. Get this from a library. Statistical analysis of longitudinal categorical data in the social and behavioral sciences: an introduction with computer illustrations.

[Alexander. This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories.

About this book. Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences.

Reflecting the growing importance and use of Show all. Longitudinal and Panel Data: Analysis and Applications for the Social Sciences Table of Contents Table of Contents i Preface vi 1. Introduction What are longitudinal and panel data. Benefits and drawbacks of longitudinal data Longitudinal data models Historical notes PART I - LINEAR MODELS 2.

Jacques Hagenaars is full professor at Tilburg University and at present chair of the board of IOPS, the Dutch PhD School for Sociometrics and Psychometrics. His main research interests are research designs, longitudinal research, categorical data analysis and latent variable models.4/5(1). A modern, comprehensive treatment of latent class and latent transition analysis for categorical data.

On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields.

Lee "Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences An introduction With Computer Illustrations" por Alexander von Eye disponible en Rakuten Kobo. A comprehensive resource for analyzing a variety of categorical data, this book Brand: Taylor And Francis.

Get this from a library. Statistical analysis of longitudinal categorical data in the social and behavioral sciences: an introduction with computer illustrations. [Alexander von Eye; Keith E Niedermeier] -- This work provides a comprehensive resource for analyzing a range of categorical data.

Accessible to social scientists and students, no advance mathematical training is required. Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences: an Introduction with Computer Illustrations.

[Alexander Von Eye; Keith E Niedermeier] -- A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods.

classified data analysis, which is typically taught at the graduate level in the behavioral and social sciences, and will probably require one or two prerequisite statistics classes that cover conventional statistical methods (e.g., factorial analysis of variance, multiple.

His main research interests include latent variable models for cross-sectional and longitudinal categorical data, with applications ranging from educational and psychometric contexts to the analysis of labor market data. Alessio Farcomeni is a researcher at the University of Rome "La Sapienza".Cited by: Author: Donald Hedeker,Robert D.

Gibbons; Publisher: John Wiley & Sons ISBN: Category: Mathematics Page: View: DOWNLOAD NOW» Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences.

Praise for the Second Edition A must-have book for anyone expecting to do research and/or applications in categorical data analysis. —Statistics in Medicine It is a total delight reading this book.

—Pharmaceutical Research If you do any analysis of categorical data, this is an essential desktop reference. —Technometrics The use of statistical methods for analyzing categorical data has.

The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis.

Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data (Statistics for Social and Behavioral Sciences) - Kindle edition by Wicher Bergsma, Marcel A.

Croon, Jacques A. Hagenaars. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Marginal Models: For Dependent, Clustered, and 4/5(1). Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications.

Marginal models are often the best choice for answering important research questions. Nonparametric Statistics for the Behavioral Sciences by Sidney Siegel and N. John Castellan, Jr. Non-Parametric Analysis of Longitudinal Data in Factorial Experiments by Edgar Brunner, Sebastian Domhof and Frank Langer; Ordinal Methods for Behavioral Data Analysis by Norman Cliff.

Longitudinal Studies Appendix A. Cumulative Distribution Function for t, F, or x Appendix B. R Tutorial. (source: Nielsen Book Data) Summary This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences.

A modern, comprehensive treatment of latent class and latent transition analysis for categorical data. On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of /5(6). A modern, comprehensive treatment of latent class and latent transition analysis for categorical data.

On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in. The book is technically rigorous, and, it also presents illustrations of the statistical analysis of various real life data involving univariate multinomial responses both in cross-sectional and longitudinal setups.

This book is written mainly for the graduate students and researchers in statistics and social sciences, among other applied.

Springer's Statistics for Social and Behavioral Sciences series includes mongraphs and texts in education, law, political science, psychology, public pol. The paper employs the statistical analysis on categorical data.

A rich account of statistical treatments for this type of analysis is provided in Agresti () and Azen & Walker ().

Specific. A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these by: Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences.

It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for. • Longitudinal Data Analysis: A Practical Guide for Researchers in Aging, Health, and Social Sciences, coedited by Jason T.

Newsom, Richard N. Jones, and Scott M. Hofer (). Anyone wishing to submit a book proposal should send the following: (1) author/title; (2) timeline, including completion date; (3) brief overview. Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences.

It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of. Statistical Power Analysis for the Behavioral Sciences: Edition 2 - Ebook written by Jacob Cohen. Read this book using Google Play Books app on your PC, android, iOS devices.

Download for offline reading, highlight, bookmark or take notes while you read Statistical Power Analysis for the Behavioral Sciences: Edition 2. Find many great new & used options and get the best deals for Statistics for Social and Behavioral Sciences: Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data Vol.

17 by Marcel A. Croon, F. Evans, Wicher Bergsma, O. Franksen and P. Falster (, Hardcover) at the best online prices at eBay. Free shipping for many products.

This book is an excellent aid and reference for researchers in quantitative social and behavioral sciences who need to analyze longitudinal data. $ $ Statistical Size Distributions in Economics and Actuarial Sciences.

Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences.

Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze.

analysis of ordinal categorical data Download analysis of ordinal categorical data or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get analysis of ordinal categorical data book now.

This site is like a library. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.

Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis.5/5(2). Book Description. Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes.

The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without. The only book of its kind to provide balanced coverage of methods for both categorical data and translational research, Applied Categorical Data Analysis and Translational Research, Second Edition is an excellent book for courses on applied statistics.

Nova publishes a wide array of books and journals from authors around the globe, focusing on Medicine and Health, Science and Technology and the Social Sciences and Humanities. We publish over 1, new titles per year by leading researchers each year, and have a network of expert authors, editors and advisors spanning the global academic.Read "Categorical Data Analysis for the Behavioral and Social Sciences" by Razia Azen available from Rakuten Kobo.

Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rat Brand: Taylor And Francis.Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data.

Read more about the book.