Vybrané metody analýzy panelových dat

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Title in English Selected methods for the analysis of panel data
Authors

PAKOSTA Petr FUČÍK Petr

Year of publication 2009
Type Article in Periodical
Magazine / Source Data a výzkum
MU Faculty or unit

Faculty of Social Studies

Citation
Field Sociology, demography
Keywords data analysis; panel data; longitudinal research
Description Advances in the statistical analysis of longitudinal data has been so rapid, that it has been difficult for empirically oriented social scientists to remain informed of all new developments in this important area of social methodology. This article offers some guidance on the use of various types of panel data analysis techniques, paying particular attention to the analysis of longitudinal panel data. The aim of this article is to describe in a succinct manner the logic underpinning a number of panel analysis techniques; outlining the types of inferences that can be drawn from employing specifc techniques, and providing the reader with references to the literature associated with particular forms of panel data analysis. Five types of panel data analysis are discussed: Event history analysis, Sequential analysis, Hierarchical linear (or multilevel) modeling (with application to longitudinal data analysis), Structural equation modeling with longitudinal data, and use of Log-linear and Markov chain models for longitudinal data with categorical variables.
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