This article examines the development of panel studies and their main characteristics. The first part of this article outlines the historical development of panel studies. Here special reference is made to the first panel studies ever undertaken, and the influence of Paul Lazarsfeld on this field of research. Thereafter, there is an overview of some recent national panel studies, and different approaches used in the analysis of panel data. The second part of this article concentrates on the panel study as a type of longitudinal research where special attention is given to a number of issues: unit of analysis, mode of data collection, time span between waves of data collection, duration of panel studies, research themes and policy influences, and opportunities for studying change at the individual (micro) level. In the final section, there is a discussion of the specific difficulties associated with panel study research., Zdeňka Lechnerová., and Obsahuje bibliografii a bibliografické odkazy
The text introduces basic concepts of cohort analysis – age, period and birth cohorts. The author shows the role of birth cohorts in explanation of social processes and deals with a cohort replacement as a matter of social change. From the methodology point of view the author presents the standard cohort table, introduces an identification problem and shows two ways how to solve it using the data on birth rates in the Czech Republic between 1948 and 2007. The first solution is presented for population data, the second one is presented for microdata in the form of a series of repeated cross-section sample surveys. The results of both analyses show, that identification of age, period and cohort effects is important for interpretation trends in birth rates in the Czech Republic between 1948 and 2007., Tomáš Katrňák., and Obsahuje bibliografii a bibliografické odkazy
This article outlines several techniques for analyzing panel data with a dichotomous dependent variable. This presentation is inspired by the classic work of Paul Allison [1999]. An example analysis is presented where public attitudes toward restitution of church property in the Czech Republic is explored using panel data. Here the focus is on exploring changes in the intra-personal agenda of respondents on this specific issue. There are three main conclusions from this research: (1) media exposure and (2) the education level of the respondent increase the odds of the church restitution issue being mentioned by a respondent as being important, and (3) mention of the church restitution issue in a particular wave of the panel survey is negatively associated with mention of this issue in later waves of the panel study examined. These findings are discussed in terms of their methodological and substantive implications., František Kalvas ... [et al.]., and Obsahuje bibliografii a bibliografické odkazy
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 specific 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 multi-level) 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., Petr Pakosta, Petr Fučík., and Obsahuje bibliografii a bibliografické odkazy