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


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Автор: Von Eye
Название:  Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences
ISBN: 9780805831825
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0805831827
Обложка/Формат: Paperback
Страницы: 272
Вес: 0.45 кг.
Дата издания: 29.04.2014
Язык: English
Размер: 225 x 153 x 15
Читательская аудитория: Undergraduate
Основная тема: Research Methods for Social and Behavioral Sciences
Подзаголовок: An introduction With Computer Illustrations
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Поставляется из: Европейский союз
Описание: This authored book provides a comprehensive resource for analyzing a variety of categorical data.Accessible to social scientists and students, no advanced mathematical training is required. It includes applications,examples,computer tutorials,& exercises


Longitudinal Categorical Data Analysis

Автор: Brajendra C. Sutradhar
Название: Longitudinal Categorical Data Analysis
ISBN: 1493953206 ISBN-13(EAN): 9781493953202
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses.

Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique

Автор: Nussbaum E. Michael
Название: Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique
ISBN: 1848726031 ISBN-13(EAN): 9781848726031
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание:

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage.

Highlights include the following:

  • Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project; however, some chapters can be omitted entirely if preferred.
  • Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines.
  • Although the book can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding.
  • Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding.
  • Problems in each chapter help readers test their understanding of the material.
  • Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results.
  • Website (www.routledge.com/9781138787827) features datasets for the book's examples and problems, and for the instructor, PowerPoint slides, sample syllabi, answers to the even-numbered problems, and Excel data sets for lecture purposes.

Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t tests and ANOVA.

Intensive Longitudinal Methods

Автор: Bolger, Niall.
Название: Intensive Longitudinal Methods
ISBN: 146250678X ISBN-13(EAN): 9781462506781
Издательство: Taylor&Francis
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Цена: 7808.00 р.
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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).

Analysis of longitudinal data

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
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Цена: 8395.00 р.
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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.


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