PSMB051 Extended introduction to the statistical inference

Faculty of Arts
Autumn 2022
Extent and Intensity
2/0/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
Mgr. David Lacko, Ph.D. (lecturer)
Mgr. Tomáš Prošek, Ph.D. (lecturer)
Mgr. Lukáš Čunek (lecturer)
Guaranteed by
doc. PhDr. Martin Jelínek, Ph.D.
Department of Psychology – Faculty of Arts
Contact Person: Jarmila Valchářová
Supplier department: Department of Psychology – Faculty of Arts
Timetable
Tue 18:00–19:40 C51
Prerequisites
PSBA012 Statistical Methods I
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 20 student(s).
Current registration and enrolment status: enrolled: 2/20, only registered: 0/20
fields of study / plans the course is directly associated with
Course objectives
The course focuses on expanding knowledge and deepening understanding of the nature of inferential statistics, including its practical use in hypothesis testing.
Learning outcomes
At the end of the course, the student will understand the nature of inferential statistics, will know statistical misconceptions and errors to avoid in his/her research, and will be able to use them in the critical evaluation of other research. They will be able to adequately and correctly state and test hypotheses and understand the most important statistical concepts.
Syllabus
  • Introduction to inferential statistics, statistical software, problems of today's psychology (replication crisis, data manipulation, p-hacking, ...)

  • Logic of hypothesis testing, scientific and methodological thinking, approaches to testing hypotheses

  • Explanation of basic concepts of frequentist and Bayesian statistics (p-value, confidence intervals, effect sizes, type 1 and type 2 error, Bayes factors, ...)

  • Null hypothesis support, equivalence testing

  • Data transformation, outlier analysis, working with outliers

  • Cross-cultural research statistics (confirmatory factor analysis, multi-group confirmatory factor analysis, measurement invariance, response bias)

    Translated with www.DeepL.com/Translator (free version)
Literature
    required literature
  • Nickerson, R. S. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods, 5(2), 241-301.
  • Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. New York: Routledge
    recommended literature
  • Berry, J., Poortinga, Y., Breugelmans, S., Chasiotis, A., & Sam, D. (2011). Cross-Cultural Psychology: Research and Applications. Cambridge: Cambridge University Press.
Teaching methods
Lectures, practical demonstrations of statistical analyses in specific statistical programs, home preparation
Assessment methods
Participation in lectures, final critical debate on the topics discussed in the form of an oral colloquium, home preparation
Language of instruction
Czech
Further Comments
Study Materials
The course is taught each semester.
The course is also listed under the following terms Spring 2020, Autumn 2020, Autumn 2021.
  • Enrolment Statistics (recent)
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