Course: Research methods and statistics 1

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Course title Research methods and statistics 1
Course code PCH/91R1A
Organizational form of instruction Lecture + Seminary
Level of course Doctoral
Year of study 1
Semester Winter
Number of ECTS credits 6
Language of instruction English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Obereignerů Radko, doc. PhDr. Ph.D.
  • Charvát Miroslav, Mgr. Ph.D.
  • Dostál Daniel, PhDr. Ph.D.
Course content
I. block - Statistics (PhDr. Daniel Dostál, Ph.D.) 09/24/2021 13:00 - 16:15 classroom 3.51 Třída Svobody 26. II. block - Statistics (PhDr. Daniel Dostál, Ph.D.) 10/01/2021 9:00 - 12:15 classroom 3.51 Třída Svobody 26. III. block - Methodology (Mgr. miroslav Charvát, Ph.D.) 10/08/2021 13:00 - 16:15 classroom 3.51 Třída Svobody 26. - Explanation of the requirements for the examination - Introduction of the desired structure of the research proposal - Bibliography and references to methodological resources Dostál, D. (2020): Lineární statistické modely v psychologii. Freely available study materials. Fox, J. (2015). Applied regression analysis and generalized linear models. NY: Sage Publications. A set of videos for working with linear models in Statictica 13 available on youtube.com. (in preparation) American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: American Psychological Association. Babbie, E. R. (2013). The basics of social research. Wadsworth: Cengage Learning. Bell, P. B., Staines, P. J., Michell, J. (2001). Evaluating, doing and writing research in psychology. A step-bystep guide for students. Thousand Oaks: Sage. Coolican, H. (2014). Research methods and statistics in psychology. NY: Psychology Press. Creswell, J. W., PlanoClark, V. L. (2011). Designing and conducting mixed methods research. [2ndedition]. London: SAGE. Goodwin, C. J., & Goodwin, K. A. (2016). Research in psychology methods and design. John Wiley & Sons. Hendl, J. (2009). Kvalitativní výzkum. Praha: Portál. Punch, K. F. (2008). Úspěšný návrh výzkumu. Praha. Kapitoly metodologie sociálních výzkumů. Praha: Grada. Urbánek, T., Denglerová, D., Širůček, J. (2011). Psychometrika. Měření v psychologii. Praha: Portál. E-learningové opory předmětu

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
Learning outcomes
The course provides students with skills necessary for independent design and implementation of quantitative research in work and traffic psychology, including the data analysis and the communication of its results.
Students will learn how to model reality using random variables and also to find answers using basic linear and nonlinear statistical models. The seminar is devoted to both theoretical knowledge and the ability to independently perform calculations using statistical software.
Prerequisites
unspecified

Assessment methods and criteria
Seminar Work, Written exam

Participation in class and in the e-learning activities, completion of assignments.
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Work & Organizational Psychology and Traffic Psychology (2020) Category: Psychology courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Arts Study plan (Version): Work & Organizational Psychology and Traffic Psychology (2020) Category: Psychology courses 1 Recommended year of study:1, Recommended semester: Winter