ZUR565 Statistical data analysis

Faculty of Social Studies
Spring 2018
Extent and Intensity
1/1/0. 6 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Lenka Dědková, Ph.D. (lecturer)
doc. Mgr. et Mgr. Hana Macháčková, Ph.D. (lecturer)
Guaranteed by
Mgr. et Mgr. Marína Urbániková, 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
Thu 15:15–16:45 PC54
Prerequisites (in Czech)
ZUR559 Methods and technigues || NOW( ZUR559 Methods and technigues )
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
Course objectives
The course will provide introduction into the 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
The students will require following skills: - work with diverse data files and diverse types of variables in SPSS software (data cleaning procedure, transformation and creation of the variables, cases selection etc.) - statistical analysis procedure (understanding inferential statistics and hypotheses testing, univariate and bivariate analyses)
Syllabus
  • 1. Course introduction. Sylabus and requirements for course fulfillment. 2. Introduction into quantitative research, character of diverse data. Variables types and attributes. Basic introduction into SPSS software. Work with data in SPSS: variable creation and editing. 3. Data cleaning procedure. Distribution of categorical and scaled data. 4. Variable transformation and computation, work with diverse variable types. 5. Practical seminar. 6. Normal distribution, hypotheses testing and inferential statistic. 7. Bivariate analysis 1: categorical data. Crosstabulation. 8. Bivariate analysis 2: scaled variables. Correlations. 9. No lecture - Faculty day. 10. Mean comparison between groups. T-test and ANOVA. 11. Practical seminar. 12. Other advanced techniques: Multivariate analysis. 13. Practical seminar.
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, 2013, xxxvi, 915. ISBN 9781446249178. info
Teaching methods
Lectures and practical seminars.
Assessment methods
Course requirements: 1. Active participation with maximum of 2 absences 2. Submission of 7 home-tasks, max. 30 points (minimum 15 points) 3. Final exam, max. 70 points (minimum 42 points)
Language of instruction
Czech
The course is also listed under the following terms Autumn 2008, Autumn 2009, Spring 2010, Spring 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2019.
  • Enrolment Statistics (Spring 2018, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2018/ZUR565