FF:PSMB013 Practice empirical research I - Course Information
PSMB013 Practice empirical research I
Faculty of ArtsSpring 2026
- Extent and Intensity
- 0/2/0. 3 credit(s). Type of Completion: k (colloquium).
In-person direct teaching - Teacher(s)
- prof. PhDr. Marek Blatný, DrSc. (seminar tutor)
doc. PhDr. Iva Burešová, Ph.D. (seminar tutor)
doc. PhDr. Jaroslava Dosedlová, Dr. (seminar tutor)
doc. PhDr. Martin Jelínek, Ph.D. (seminar tutor)
Mgr. Vojtěch Juřík, Ph.D. (seminar tutor)
Mgr. Helena Klimusová, Ph.D. (seminar tutor)
PhDr. Kateřina Koros Bartošová, Ph.D. (seminar tutor)
doc. PhDr. Petr Květon, Ph.D. (seminar tutor)
Mgr. Jan Ondřej (seminar tutor)
prof. PhDr. Hana Přikrylová Kučerová, Ph.D. (seminar tutor)
PhDr. Zdenka Stránská, Ph.D. (seminar tutor)
prof. PhDr. Tomáš Urbánek, Ph.D. (seminar tutor)
PhDr. Dalibor Vobořil, Ph.D. (seminar tutor) - Guaranteed by
- doc. PhDr. Petr Květon, Ph.D.
Department of Psychology – Faculty of Arts
Contact Person: Mgr. Kateřina Šefčíková
Supplier department: Department of Psychology – Faculty of Arts - Prerequisites
- SOUHLAS
Methodology of psychology - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
The capacity limit for the course is 100 student(s).
Current registration and enrolment status: enrolled: 5/100, only registered: 0/100 - fields of study / plans the course is directly associated with
- Psychology (programme FF, N-PSYCH_)
- Abstract
- The course is intended for students who actively participate in a research project conducted by a member of the Department of Psychology, Faculty of Arts, Masaryk University. The aim is to gain experience in preparing a research design, organizing data collection, conducting the data collection itself, and, if applicable, basic data analysis. Students can later use these experiences, for example, in their own diploma (master’s) thesis.
- Learning outcomes
- Output competences vary depending on the specific research project for which the student registers. Some of the most common outputs include:
- Advanced experience with doing literature review relevant for a specific research question;
- Enhanced knowledge of procedures and pitfalls of selecting and preparing research methods for a specific research project: looking for information, translating and piloting instruments, putting together an electronic questionnaire, designing a test, etc.;
- Practical experience with the selection of target population and sampling procedures appropriate for a specific research project;
- Practical experience with addressing ethical issues in research (e.g. writing up informed consent forms and obtaining informed consent from participants);
- Practical experience with participant recruitment and data collection;
- Skills and knowledge necessary for compiling error-free data files ready for statistical analysis (e.g. aligning data from various sources, reversing scores, computing total scores, identifying problematic cases, etc.);
- Enhancement of skills and knowledge of statistical analysis through hypothesis testing under the investigator's supervision;
- Experience with collaborative preparation of a research report for publication (e.g. a conference poster). - Key topics
- Students are involved in research projects conducted at the department. Their contribution especially includes:
- 1. Finalizing research design and organizing data collection;
- 2. Performing data collection (e.g., administering tests and questionnaires, online or in person);
- 3. Data processing (e.g., data coding, rewriting data to Excel, etc.).
- Students' participation on the research project is not remunerated. Sessions and meetings might take place outside the regular semester schedule.
- Study resources and literature
- Vzhledem k charakteru předmětu se literatura neuvádí.
- Approaches, practices, and methods used in teaching
- Team sessions and laboratory classes in small seminar groups; individual or collaborative data collection and processing (depending on the specific demands of the research project).
- Method of verifying learning outcomes and course completion requirements
- Students are expected to perform a specific task (data collection, data processing, etc.), depending on the agreement with the supervising teacher.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course is taught each semester.
The course is taught every week.
Information on course enrolment limitations: Dlouhodobý seminář je určen pro předem vybrané studenty. - Listed among pre-requisites of other courses
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/phil/spring2026/PSMB013