POLb1139 Statistical Reasoning in Social Sciences

Faculty of Social Studies
Autumn 2020
Extent and Intensity
1/1/0. 5 credit(s). Type of Completion: zk (examination).
Taught online.
Teacher(s)
Mgr. Lenka Hrbková, Ph.D. (lecturer)
doc. Mgr. Peter Spáč, Ph.D. (lecturer)
Guaranteed by
doc. Mgr. Peter Spáč, Ph.D.
Department of Political Science – Faculty of Social Studies
Contact Person: Mgr. Lucie Pospíšilová
Supplier department: Division of Politology – Department of Political Science – Faculty of Social Studies
Timetable
Mon 14:00–15:40 PC25
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: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
there are 29 fields of study the course is directly associated with, display
Course objectives
Statistics is an important part of social science research. This course is a basic introduction of statistical inference and methods. The aim of the course is to present students to basc statistical concepts and techniques which they will use in their own research. Students will learn statistical techiques using a free statisical program JASP. No previous knowledge of statistics is required. Knowledge acquired in this class will be used in the proces of students´work on their seminar assignments throughout their studies and bachelor theses.
Learning outcomes
Students will know how to:
- understand and explain basic statistical concepts;
- analyze social science data;
- create and test hypotheses;
- apply statistical methods on their own data
Syllabus
  • 1. Course introduction;
  • 2. What is statistics
  • 3. Data, variables
  • 4. Descriptive statitstics
  • 5. Population, samle, hypothesis
  • 6. Statistical inference, confidence intervals
  • 7. Crosstabs, chi-square, correlation
  • 8. T-test, ANOVA
  • 9. Linear regresssion
  • 10. Logistic regression
Literature
    recommended literature
  • RABUŠIC, Ladislav, Petr SOUKUP and Petr MAREŠ. Statistická analýza sociálněvědních dat (prostřednictvím SPSS) (Statistical data analysis (with SPSS)). 2. přepracované vyd. Brno: Masarykova univerzita. 573 pp. ISBN 978-80-210-9247-1. 2019. URL info
    not specified
  • SPIEGELHALTER, David. The art of statistics : learning from data. First published. UK: Pelican, an imprint of Penguin Books. xvi, 426. ISBN 9780241398630. 2019. info
  • REINHART, Alex. Statistics done wrong : the woefully complete guide. San Francisco: No Starch press. xviii, 152. ISBN 9781593276201. 2015. info
  • FIELD, Andy and Jeremy MILES. Discovering statistics using R. SAGE. ISBN 978-1-4462-0045-2. 2012. info
Teaching methods
Lectures and seminars
Assessment methods
Seminar assignments and final examination
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Autumn 2020, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2020/POLb1139