FSS:ZURn6302 Statistical Analysis - Course Information
ZURn6302 Statistical Analysis
Faculty of Social StudiesAutumn 2024
- Extent and Intensity
- 1/1/0. 8 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Lenka Dědková, Ph.D. (lecturer)
Mgr. Michaela Šaradín Lebedíková (seminar tutor) - Guaranteed by
- Mgr. Lenka Dědková, Ph.D.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Mgr. Boris Rafailov, Ph.D.
Supplier department: Department of Media Studies and Journalism – Faculty of Social Studies - Timetable
- Fri 10:00–11:40 PC25
- Prerequisites
- ZURn4108 Analysis of Quantitative Data
The prerequisite for enrolling in the course is the completion of the course ZUN108 Descriptive analysis of quantitative data. - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Media industries and production (programme FSS, N-MSZU)
- Media Studies and Journalism (programme FSS, N-KS)
- Media Studies and Journalism (programme FSS, N-MSZU)
- Media research and analytics (programme FSS, N-MSZU)
- 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. The course is taught in Czech.
- 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) - Syllabus
- The course will cover the following topics (the specific order may vary): - Course introduction. Syllabus and requirements for course fulfillment, SPSS, syntax.
- - Normal distribution, hypotheses testing, and inferential statistic.
- - Bivariate analysis 1: categorical data. Crosstabulation.
- - Bivariate analysis 2: continuous variables. Correlations.
- - Mean comparison between groups. T-test, ANOVA. ANCOVA.
- - Linear regression.
- - Scales.
- - Logistic regression.
- - Introduction to other analytical options: mediation, moderation, longitudinal analyses, multilevel analyses, structural equation modeling.
- 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 assignments, final exam
Evaluation based on interim tasks and final test, with a maximum of 100 points. Grading:
A 100-90
B 89-80
C 79-70
D 69-60
E 59-50
F 49-0
Attendance: mandatory attendance at 75% of seminars (8 out of 11)
Homeworks: A total of 8 homework for which a maximum of 35 points can be obtained. The condition for completing the course is to submit all assignments and obtain at least 17 points for their evaluation. Assignments are always handed in by Wednesday 12:00 before the lecture following the assignment (i.e. there are 5 days to complete the assignment).
Final test: A maximum of 65 points can be obtained. - Language of instruction
- Czech
- Further Comments
- The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fss/autumn2024/ZURn6302