Syllabus
* Structure of Lessons:
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: - SAVAGE, M., BURRWS, R. „The coming crisis of empirical sociology“. Sociology, 41(5), 885-899.
2007. - CORTI, L., VAN den EYDEN, V., BISHOP, L. Managing and sharing research data. A guide to good practice, London: SAGE,
2014. * Recommended reading: - ROVES, R. et al. Survey methodology. Hoboken: Wiley-Interscience,
2004. ISBN 978-0-470-46546-2. - TOURAGEAU, R. et al. The psychology of survey response. New York: Cambridge university press,
2000. ISBN 0-521-57246-0.
Annotation
The aim of this course is to introduce students to the techniques of quantitative and qualitative sociological data processing.