DAL3EL02 Empirical Legal Studies II - data analyzing

Faculty of Law
Autumn 2024
Extent and Intensity
0/0/0. 5 credit(s). Type of Completion: k (colloquium).
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. Vendula Strnadová
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
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.
  • 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.
    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
The course is also listed under the following terms Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (recent)
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