FF:PSD_DS4 Doctoral Seminar IV - Course Information
PSD_DS4 Doctoral Seminar IV
Faculty of ArtsSpring 2017
- 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
- there are 6 fields of study the course is directly associated with, display
- 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.
- Enrolment Statistics (Spring 2017, recent)
- Permalink: https://is.muni.cz/course/phil/spring2017/PSD_DS4