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Poslední úprava: PhDr. Martin Vávra, Ph.D. (06.10.2021)
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Poslední úprava: Mgr. Karolína Šedivcová (04.06.2019)
1. Quantitative and qualitative sociological data - definition, limits for use, mixed methods. 2. Data quality - errors made during the research (sampling and non-sampling errors) 3. Data quality - "psychology of respondent" 4. Data quality - data processing errors 5. Problems with the historical dimension of quantitative sociological research (time series, longitudinal studies) 6. Quantitative data sources for secondary analysis and how to use them (data archives) 7. Quantitative data sources for secondary analysis taken for data archives (statistical offices, etc.) and how to use them 8. Sources of qualitative data for secondary analysis 9. Management and archiving of sociological data. 10. On-line data analysis - NESSTAR system and similar systems. 11. History of empirical sociology - international context. 12. History of empirical sociology in the Czech Republic. 13. Recapitulation of the course.
Required reading:
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