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THE ROLE OF CONSENSUS AND SOCIAL HEMOGENEITY IN THE PROCESS OF BUILDING CAPITALISM IN POST-COMMUNIST COUNTRIES

100%
Bielinski J.
Studia Socjologiczne
|
2006
|
issue 1(180)
89-118
EN
The focus of this article is on interpretation of progress of post-communist transformations. Classical approaches, particularly those of Max Weber and Karl Polanyi, rather than modern ones are used as basis for the empirical analysis.The author argues that the success of capitalist project, both now and in the past, stems from the ability to work out a general consensus about the preceding economic order. He also claims that ethnic homogeneity can be a favorable factor for the post-communist transformation, especially in its initial phase. Moreover, unlike in fully developed market systems which are more stable and socially diverse, the success of market reforms in post-communist countries negatively correlates with their diversification.One of the main goals of this analysis is to describe empirically what this consensus refers to. Survey research shows that market reforms in former socialist block run more smoothly if the level of social consensus about key values, not necessarily liberal, is high. The author analyzed values and attitudes defining the consensus and also the degree of their popularity among economic elites and non-elites. Data used in the analysis comes from the first edition of European Social Survey.
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Computer Assisted Qualitative Data Analysis

51%
Bielinski J., Iwinska K., Rosinska-Kordasiewicz A.
ASK. Research and Methods
|
2007
|
vol. 16
89-114
EN
Qualitative and quantitative research are embedded in different epistemological traditions and typically differ in tools applied in data analysis. The computer software was mostly used within quantitative design to carry out statistical analysis. Among qualitative researchers there is a widespread opinion that computer software applied in qualitative analysis might kill (by subsuming to the standardized, uniformed procedures) the freshness and relevance of rich and non-reductionable empirical data. Nevertheless, since early nineties, the computer software has been growing more and more popular in qualitative research process. The software is more and more widely used in cataloguing, sorting out and data retrieval done throughout the qualitative data analysis process. We argue that the CAQDAS (computer assisted qualitative data analysis software) provide a useful tool for improving the rigor of analytical work as well as it might be a help in arranging data in synthesis in qualitative research. The aim of this article is to show the possibilities and usefulness of computer assisted qualitative data analysis (mostly: Atlas.ti and Nudist) based on examples drawn from two qualitative researches.
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