PrF:DAL3EL02 Empirical Legal Studies II - Course Information
DAL3EL02 Empirical Legal Studies II - data analyzing
Faculty of LawAutumn 2022
- Extent and Intensity
- 0/0/0. 5 credit(s). Type of Completion: k (colloquium).
- Teacher(s)
- doc. JUDr. Tomáš Sobek, Ph.D. (lecturer)
doc. JUDr. Mgr. Martin Škop, Ph.D. (lecturer) - Guaranteed by
- doc. JUDr. Tomáš Sobek, Ph.D.
Department of Legal Theory – Faculty of Law
Contact Person: Mgr. Ivana Hovořáková, Ph.D. - Prerequisites
- DAL2EL01 Empirical Legal Studies I - data collecting
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Legal theory and Public Affairs (programme PrF, LTPA_) (2)
- Course objectives
- Any research is not complete if data are not inserted into broader context. No research is complete without data interpretation. To collect data is important – to interpret data is important as well. Empirical Legal Studies II - data analyzing is focused on specific trends in data analysis in legal research. The course deals with doctrinal research and its findings and interpretation of data in empirical legal research. Alternatively, the student can attend other methodological seminars focused on data analysis at university (after prior agreement of the guarantor of this course) whose goals respond to the topic of thesis of the student.
- Learning outcomes
- After successfully completing course, student is able to:
- Evaluate new knowledge and ideas in legal science;
- Understand law in symbolic context;
- Create specific methodological means for legal research;
- Interpret data in doctrinal legal research. - Syllabus
- 1. Methods of data analysis.
- 2. Critical approaches to data.
- 3. Analysis of doctrinal data.
- 4. Empirical data analysis (qualitative approaches).
- 5. Creating a symbolic world of law.
- 6. Actual trends in data interpretation in law. Using data in process of legitimization.
- Literature
- recommended literature
- DENZIN, Norman K. a Yvonna S. LINCOLN. Collecting and interpreting qualitative materials. Edition 4. Thousand Oaks: SAGE Publications, 2013. ISBN 9781452258041.
- JASON, Leonard a David GLENWICK. Handbook of methodological approaches to community-based research: qualitative, quantitative, and mixed methods. New York: Oxford University Press, 2016. ISBN 978–0–19–024365–4.
- DENZIN, Norman K. The research act: a theoretical introduction to sociological methods. 2d ed. New York: McGraw-Hill, c1978. ISBN 0-07-016361-8.
- Social phenomena : from data analysis to models. Edited by Bruno Conçalves - Nicola Perra. Heidelberg: Springer, 2015, xii, 260. ISBN 9783319140100. info
- MILES, Matthew B., A. M. HUBERMAN and Johnny SALDAÑA. Qualitative data analysis : a methods sourcebook. ed. 3. Los Angeles: Sage, 2014, xxiii, 381. ISBN 9781452257877. URL info
- BORTZ, Jürgen and Christof SCHUSTER. Statistik für Human- und Sozialwissenschaftler. 7., voll. überarb. und erw. Berlin: Springer, 2010, xvi, 655. ISBN 9783662503737. info
- Teaching methods
- class discussion, model cases, research review, reading
- Assessment methods
- discussion on data interpretation, analyzing data related to the dissertation thesis
- Language of instruction
- English
- Enrolment Statistics (Autumn 2022, recent)
- Permalink: https://is.muni.cz/course/law/autumn2022/DAL3EL02