Dependent Data in Social Sciences Research
Forms, Issues, and Methods of Analysis
Editors: Stemmler, Mark, von Eye, Alexander, Wiedermann, Wolfgang (Eds.)
Free Preview- 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
Buy this book
- 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
Pages 3-45
-
Nonlinear Growth Curve Models
Pages 47-66
-
Stage-Sequential Growth Mixture Modeling of Criminological Panel Data
Pages 67-89
-
Developmental Pathways of Externalizing Behavior from Preschool Age to Adolescence: An Application of General Growth Mixture Modeling
Pages 91-106
-
A Generalization of Nagin’s Finite Mixture Model
Pages 107-123
-
Table of contents (16 chapters)
Recommended for you
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
- Springer International Publishing Switzerland
- 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
