Dependent Data in Social Sciences Research

Forms, Issues, and Methods of Analysis

Mark Stemmler, Alexander von Eye, Wolfgang Wiedermann (Herausgeber)

Buch | Softcover

XIII, 385 Seiten

2016
Springer International Publishing (Verlag)
978-3-319-37227-3 (ISBN)

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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.

Growth Curve Modeling.- Directional Dependence.- Dydatic Data Modeling.- Item Response Modeling.- Other Methods for the Analyses of Dependent Data.

Erscheinungsdatum	19.08.2017
Reihe/Serie	Springer Proceedings in Mathematics & Statistics
Zusatzinfo	XIII, 385 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	611 g
Themenwelt	Geisteswissenschaften ► Psychologie ► Test in der Psychologie
	Mathematik / Informatik ► Mathematik
	Sozialwissenschaften ► Soziologie ► Allgemeine Soziologie
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
Schlagworte	Analysis of longitudinal panel count data • close proximity data • clustered or paired data • corrections for dependency • dependent data • directional dependence • dyadic data modeling • growth curve modeling • item response modeling • Psychometrics • statistical analysis for dependence in data
ISBN-10	3-319-37227-0 / 3319372270
ISBN-13	978-3-319-37227-3 / 9783319372273
Zustand	Neuware