PSD_DS4 Doctoral Seminar IV

Faculty of Arts
Spring 2016
Extent and Intensity
0/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. PhDr. Martin Jelínek, Ph.D. (lecturer)
Mgr. Helena Klimusová, Ph.D. (lecturer)
prof. PhDr. Tomáš Urbánek, Ph.D. (lecturer)
Guaranteed by
PhDr. Zdenka Stránská, Ph.D.
Department of Psychology – Faculty of Arts
Supplier department: Department of Psychology – Faculty of Arts
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.
Syllabus
  • The content of the seminars: Statistics (basic method): T-test Correlation Linear regression analysis Analysis of variance -one-way -factorial - repeated measures Non-parametric tests Categorical Data Analysis - cross-tabs and Pearson chi-square
Literature
  • Goodwin, C.J. (2010). Research in Psychology: Methods and Design (6th edition). Hoboken, NJ: John Wiley & Sons, Inc.
  • Field, A. (2009). Discovering Statistics using SPSS (3rd edition). London: Sage.
  • 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 3 pages final version of the dissertation research design (submission deadline: the 15th of the month following enrollment in the subject), and 3 reviews - feedback on projects of their colleagues, including critical evaluation of research design and data analysis plan. For successful completion of the course, students must have successfully completed a test of knowledge of methodology and basic statistical methods and to contribute actively at seminars by presentations of their projects and during the discussion of their colleagues' projects.
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is taught: in blocks.
Note related to how often the course is taught: každý měsíc.
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 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2016, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2016/PSD_DS4