PSD_DS3 Doctoral Seminar III

Faculty of Arts
Autumn 2019
Extent and Intensity
0/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. PhDr. Marek Blatný, DrSc. (lecturer)
doc. PhDr. Martin Jelínek, Ph.D. (lecturer)
Mgr. Helena Klimusová, Ph.D. (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 11. 10. 12:00–18:00 C42, Fri 8. 11. 12:00–18:00 C42
Prerequisites
It is assumed that the student is equipped with general knowledge in the field of quantitative psychological research. In particular, sufficient terminological background in methodology 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 quantitative 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 quantitative approach, types of research plans and designing of the research project; they will deepen their knowledge of methods of collecting, processing and analysis of quantitative 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 quantitative approach and its methods. They will be able to work effectively with procedures of quantitative 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: - compare basic research design according to their benefits, disadvantages and limitations; - select and elaborate methodological design adequate to the research question; - critically evaluate methodology used in other research projects.
Syllabus
  • Content of seminars: Summary of basic methodological approaches in psychological research: - experimental design - quasi-experiment - correlation studies - developmental research Individual presentation of proposals for research projects Group discussion of projects
Literature
  • Goodwin, K. A., Goodwin, C. J. (2016). Research in Psychology: Methods and Design, 8th Edition. Hoboken, NJ: Wiley.
  • Cooper, H. (2018). Reporting Quantitative Research in Psychology: How to Meet APA Style Journal Article Reporting Standards, 2nd edition. Washington: APA.
  • APA handbook of research methods in psychology. Edited by Harris M. Cooper - Paul Marc Camic - Debra L. Long - A. T. Panter - Da. Washington, D.C.: American Psychological Association, 2012, xliv, 744. ISBN 9781433810046. info
  • FIELD, Andy P. Discovering statistics using IBM SPSS statistics. 5th edition. Los Angeles: Sage, 2018, xxix, 1070. ISBN 9781526419521. info
  • Relevantní české i zahraniční elektronické zdroje a periodika, e-learningové materiály přednášejících v IS.
Teaching methods
Lectures, discussions, presentations, case studies, solution of model situations.
Assessment methods
Credit. Conditions for obtaining credit is 80% attendance at seminars and processing the proposal of the dissertation research design, and two reviews - feedback on projects of their colleagues, including critical evaluation of research questions and methodological design. For successful completion of the course, students must actively contribute at seminars by presentations of their projects and discussing their colleagues' projects.
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 Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2019, recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2019/PSD_DS3