Sociological Data and Data Archives - YMH519

• Title: Sociological Data and Data Archives
• Guaranteed by: Programme Historical Sociology (24-HS)
• Faculty: Faculty of Humanities
• Actual: from 2021
• Semester: winter
• E-Credits: 2
• Examination process: winter s.:
• Hours per week, examination: winter s.:0/2, C [HT]
• Extent per academic year: 26 [hours]
• Capacity: unknown / unknown (20)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Teaching methods: full-time
• Level: basic
• Note: course can be enrolled in outside the study plan; enabled for web enrollment; priority enrollment if the course is part of the study plan
• Guarantor: PhDr. Martin Vávra, Ph.D.
• Teacher(s): Mgr. Tomáš Čížek; PhDr. Martin Vávra, Ph.D.
• Class: Courses available to incoming students

Annotation

English

Last update: PhDr. Martin Vávra, Ph.D. (06.10.2021)

The aim of this course is to introduce students to the techniques of quantitative and qualitative sociological data processing.

Czech

Last update: PhDr. Martin Vávra, Ph.D. (06.10.2021)

The aim of the course is to deepen students' knowledge and skills related to quantitative and qualitative research data relevant for social sciences. The quality of sociological data and the most important sources of errors in research (sampling errors, measurement errors, processing errors) will be discussed during the course. Sources of social science data and how to find them (data discovery) and use them represent another important field. Emphasis is paid to the role and function of data archives for social sciences here. Last but not least -– the history of empirical sociology and the development of research methods isare discussed during the course.

Syllabus

Last update: Mgr. Karolína Šedivcová (04.06.2019)

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.