ZURn6302 Statistical Analysis

Faculty of Social Studies
Autumn 2021
Extent and Intensity
1/1/0. 8 credit(s). Type of Completion: zk (examination).
Taught in person.
Teacher(s)
Mgr. Lenka Dědková, Ph.D. (lecturer)
doc. Mgr. et Mgr. Hana Macháčková, Ph.D. (lecturer)
Mgr. Michaela Lebedíková (seminar tutor)
Mgr. et Mgr. Natálie Terčová (seminar tutor)
Guaranteed by
Mgr. Lenka Dědková, Ph.D.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Ing. Bc. Pavlína Brabcová
Supplier department: Department of Media Studies and Journalism – Faculty of Social Studies
Timetable
Fri 17. 9. 10:00–11:40 PC25, Fri 24. 9. 10:00–11:40 PC25, Fri 1. 10. 10:00–11:40 PC25, Fri 8. 10. 10:00–11:40 PC25, Fri 15. 10. 10:00–11:40 PC25, Fri 22. 10. 10:00–11:40 PC25, Fri 29. 10. 10:00–11:40 PC25, Fri 5. 11. 10:00–11:40 PC25, Fri 12. 11. 10:00–11:40 PC25, Fri 19. 11. 14:00–15:40 PC25, Fri 26. 11. 10:00–11:40 PC25, Fri 3. 12. 10:00–11:40 PC25, Fri 10. 12. 10:00–11:40 PC25
Prerequisites (in Czech)
ZURn4108 Analysis of Quantitative Data
Předpokladem zapsání předmětu je absolvování předmětu ZUN108 Deskriptivní analýza kvantitativních dat.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course will provide introduction into the inferential statistical analysis in media research. It will focus on the logic and principles behind statistical analysis and interpretation as well as the work with the SPSS software.
Learning outcomes
Students will be able to:
- understand the assumptions in statistics (probabilities, descriptive and inferential statistics, hypotheses testing, effect sizes)
- conduct basic analyses (t-tests, ANOVA, correlations, regression, cluster analysis)
Syllabus
  • 1. Course introduction. Sylabus and requirements for course fulfillment, SPSS, snytax.
  • 2. Normal distribution, hypotheses testing and inferential statistic.
  • 3. Bivariate analysis 1: categorical data. Crosstabulation.
  • 4. Bivariate analysis 2: continuous variables. Correlations.
  • 5. Mean comparison between groups. T-test, ANOVA. ANCOVA.
  • 6. Exercises.
  • Cluster analysis.
  • 7. Multivariate analysis 1: linear regression.
  • 8. Multivariate analysis 2: logistic reggression.
  • 9. Factor analysis.
  • 10. Exercise.
  • 11. CLuster analysis.
  • 12. Introduction to other analytical options: mediation, moderation, longitudinal analyses, multilevel analyses, structural equation modelling.
  • 13. Exercise and preparation for the final exam.
Literature
    required literature
  • FIELD, Andy P. Discovering statistics using IBM SPSS statistics : and sex and drugs and rock 'n' roll. 4th edition. Los Angeles: Sage, Texts, 2014, xxxvi, 915. ISBN 9789351500827. info
    recommended literature
  • BERKMAN, Elliot T. and Steven Paul REISE. A conceptual guide to statistics using SPSS. Los Angeles: Sage, 2012, xiii, 296. ISBN 9781412974066. info
Teaching methods
Lectures and practical seminars.
Assessment methods
attendance, home assingments, final exam
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2020, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2021, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2021/ZURn6302