ZURn4108 Descriptive Analysis of Quantitative Data

Faculty of Social Studies
Spring 2024
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. et Mgr. Karolína Bieliková (lecturer)
Mgr. Lucie Čejková (lecturer)
Mgr. Klára Smejkal, Ph.D. (lecturer)
Mgr. et Mgr. Michal Tkaczyk, Ph.D. (lecturer)
Guaranteed by
Mgr. et Mgr. Michal Tkaczyk, 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 (in Czech)
TYP_STUDIA(MN)
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 13/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to acquaint students with the basics of quantitative data analysis of data used in media research using MS Excel and SPSS. It focuses mainly on basic data processing and data types, working with them, working with data files and variables (file creation, data entry and debugging, data export and import, file operations, data transformation, creation of new variables, selection of cases etc.) and methods of basic descriptive data analysis (descriptive statistics). At the same time, the course focuses on the reporting of descriptive analyzes and their interpretation.
Learning outcomes
Upon completion of the course, students will:
- be able to create a data matrix in Excel and SPSS, edit and transform data,
- be able to export and import data and data sets,
- have the knowledge of the basic methods of descriptive statistical data analysis,
- be able to use SPSS statistical software for descriptive data analysis.
Syllabus
  • 1. Introduction to the course: objectives and content.
  • 2. Logic of quantitative research, empirical quantitative data. Types of variables and their attributes.
  • 3. Working with data in Excel: creating and editing variables, importing and exporting data.
  • 4. Working with data in SPSS: creating and editing variables, importing and exporting data.
  • 5. Basics of univariate analysis, data cleansing. Distribution of categorical data and continuous data and their characteristics.
  • 6. Transformation and creation of variables, working with different types of variables.
  • 7. Exercises.
  • 8. Basics of crosstabs.
  • 9. Crosstabs, graphs and data interpretation
  • 10. Creating and reporting descriptive analyses: graphical outputs.
  • 11. Exercises and practicing (preparing for the final test).
  • 12. Basic insight into inferential statistics.
Literature
    required 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, 2019, 573 pp. ISBN 978-80-210-9247-1. URL info
  • FIELD, Andy. Discovering Statistics Using IBM SPSS Statistics. 5th. Sage Publishing, 2017. ISBN 978-1-5264-4578-0. URL info
Teaching methods
lecture, seminar (SPSS practice exercise), reading
Assessment methods
practical tasks, final test
Language of instruction
Czech
Further Comments
Study Materials
The course is taught each semester.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Autumn 2024, Spring 2025.
  • Enrolment Statistics (Spring 2024, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2024/ZURn4108