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Springer Proceedings in Mathematics & Statistics

Dependent Data in Social Sciences Research

Forms, Issues, and Methods of Analysis

Editors: Stemmler, Mark, von Eye, Alexander, Wiedermann, Wolfgang (Eds.)

  • Presents new developments and applications for dependent data
  • Applications will be useful for researchers in the social sciences, econometrics, psychometrics, education and medicine
  • Features contributions from an international array of researchers
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-20585-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-20584-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-37227-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.

Table of contents (16 chapters)

  • The Observed Dependency of Longitudinal Data

    McArdle, John J.

    Pages 3-45

    Preview Buy Chapter 30,19 €
  • Nonlinear Growth Curve Models

    Ghisletta, Paolo (et al.)

    Pages 47-66

    Preview Buy Chapter 30,19 €
  • Stage-Sequential Growth Mixture Modeling of Criminological Panel Data

    Reinecke, Jost (et al.)

    Pages 67-89

    Preview Buy Chapter 30,19 €
  • Developmental Pathways of Externalizing Behavior from Preschool Age to Adolescence: An Application of General Growth Mixture Modeling

    Stemmler, Mark (et al.)

    Pages 91-106

    Preview Buy Chapter 30,19 €
  • A Generalization of Nagin’s Finite Mixture Model

    Schiltz, Jang

    Pages 107-123

    Preview Buy Chapter 30,19 €

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-20585-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-20584-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-37227-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Dependent Data in Social Sciences Research
Book Subtitle
Forms, Issues, and Methods of Analysis
Editors
  • Mark Stemmler
  • Alexander von Eye
  • Wolfgang Wiedermann
Series Title
Springer Proceedings in Mathematics & Statistics
Series Volume
145
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-319-20585-4
DOI
10.1007/978-3-319-20585-4
Hardcover ISBN
978-3-319-20584-7
Softcover ISBN
978-3-319-37227-3
Series ISSN
2194-1009
Edition Number
1
Number of Pages
XIII, 385
Topics