PSD_DS6 Seminar for Doctoral Students VI

Faculty of Arts
Spring 2020
Extent and Intensity
0/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. PhDr. Marek Blatný, DrSc. (lecturer)
prof. PhDr. Tomáš Urbánek, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Marek Blatný, DrSc.
Department of Psychology – Faculty of Arts
Contact Person: Jarmila Valchářová
Supplier department: Department of Psychology – Faculty of Arts
Timetable
Fri 6. 3. 9:00–12:40 C51, Fri 3. 4. 9:00–12:40 C51, Fri 15. 5. 9:00–12:40 C51
  • Timetable of Seminar Groups:
PSD_DS6/01: Fri 6. 3. 13:00–16:40 C51, Fri 3. 4. 13:00–16:40 C51, Fri 15. 5. 13:00–16:40 C51, M. Blatný
PSD_DS6/02: Fri 6. 3. 13:00–16:40 C42, Fri 3. 4. 13:00–16:40 C42, Fri 15. 5. 13:00–16:40 C42, M. Blatný
Prerequisites
PSD_DSV. It is assumed that the student is equipped with general knowledge in the field of qualitative psychological research. In particular, sufficient terminological background and orientation in basic qualitative data analysis is required.
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
Students build on their previous knowledge of qualitative methodology and methods of data analysis with the aim to deepen and extend their knowledge with practical application. They will become familiar with the detailed aspects of qualitative approach, types of research plans and designing of the research project; they will deepen their knowledge of methods of collecting, processing and analysis of qualitative data and they will subsequently be able to implement this knowledge in practice. Students will be able to apply rules of ethics of psychological research and research evaluation criteria, using a qualitative approach and its methods. They will be able to work effectively with procedures of qualitative methodology, in particular to choose the data analysis methods appropriate to the research project and the nature of research data, and critically evaluate the results of the analysis and to propose any alternative data analysis procedures. They will be able to see the limits of a research plan in terms of methodological correctness and feasibility.
Learning outcomes
Student will be able to: select an approach adequate to the research question; interpret the results of the analyzes; critically evaluate the application of data processing techniques in research studies.
Syllabus
  • Types of research plans and project preparation. Qualitative sampling methods. Methods of obtaining qualitative data. Methods of processing qualitative data. Methods of qualitative data analysis. Research validity and methods of its control. Ethical rules of psychological research. Criteria for evaluating research using qualitative approach and methods. Presentation and discussion on students' data analysis proposals.
Literature
    required literature
  • Willig, C., Stainton Rogers, W. (eds.). The SAGE Handbook of Qualitative Research in Psychology. Second Edition. London: SAGE Publications Ltd, 2017. 664 s. ISBN-13: 978-1473925212.
  • Miovský, M. Kvalitativní přístup a metody v psychologickém výzkumu. Praha: Grada, 2006. 332 s. (Psyché) ISBN 8024713624.
  • Hendl, J. Kvalitativní výzkum. Základní teorie, metody a aplikace. Praha: Portál, 2016. 440 s. ISBN 978-80-262-0982-9
    recommended literature
  • Denzin, Norman K., and Yvonna S. Lincoln. 2011. Introduction: The discipline and practice of qualitative research. In Sage handbook of qualitative research. 4th ed. Edited by Norman K. Denzin and Yvonna S. Lincoln, 1–25. Thousand Oaks, CA: SAGE.
    not specified
  • Onwuegbuzie, Anthony J., Nancy L. Leech, and Kathleen M. T. Collins. 2011. Toward a new era for conducting mixed analyses: The role of quantitative dominant and qualitative dominant crossover mixed analyses. In The Sage handbook of innovation in social r
  • Morrill et al. (2000). Qualitative Data Analysis. Chapter 10, 320-357.
  • Leech, Nancy L., and Anthony J. Onwuegbuzie. 2008. Qualitative data analysis: A compendium of techniques and a framework for selection for school psychology research and beyond. School Psychology Quarterly 23:587–604.
Teaching methods
Lectures, discussions, presentations, case studies, solution of model situations.
Assessment methods
Successful completion of the course is awarded with a credit. To obtain a credit, students are required 1. to participate (actively) at 80% of seminars (workshops), and 2. to outline a qualitative research proposal with the length of 5 normal pages.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2020, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2020/PSD_DS6