EAN: 9783319205847

DEPENDENT DATA IN SOCIAL SCIENCES RESEARCH GEBU...

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.

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