ZUR589k The A-Z of survey data analysis

Faculty of Social Studies
Spring 2015
Extent and Intensity
1/1. 8 credit(s). Type of Completion: z (credit).
Teacher(s)
Kjartan Ólafsson, M.A. (lecturer)
Mgr. Klára Šmídová (assistant)
Guaranteed by
prof. PhDr. David Šmahel, 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
Mon 20. 4. 13:30–16:45 PC25, Tue 21. 4. 9:45–13:00 PC25, Wed 22. 4. 15:15–18:30 PC25, Thu 23. 4. 15:15–18:30 PC25, Fri 24. 4. 9:45–13:00 PC25
Prerequisites (in Czech)
SOUHLAS
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 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15, only registered with preference (fields directly associated with the programme): 0/15
fields of study / plans the course is directly associated with
Course objectives
The course will focus on the various aspects of survey data analysis and cover in detail the process from data analysis to a published research report. Survey data is widely used in social sciences and successfully analysing such data requires a broad set of skills ranging from knowledge of inferential statistics to formatting of text, tables and figures. It will be assumed that students are familiar with key concepts of descriptive statistics. Also that they have some experience with a statistics software like SPSS. Basic knowledge of Word and Excel is also assumed. During the course students will solve practical assignments using real data and can either bring their own data or choose between two data sets provided by the instructor (the 2010 EU Kids Online survey and the 2013 Net Children Go Mobile survey).
Syllabus
  • Monday 20.04 13:30 – 16:45
  • Overview of the process and the general task of analysing data – the link from theory to practical work
  • Tuesday 21.04 09:45 – 13:00
  • Exploring data – maintaining focus, avoiding unnecessary work and keeping a record of data transformations
  • Wednesday 22.04 15:15 – 18:30
  • Analysing data – deciding on the story, keeping notes of decisions, avoiding complex statistics and not forgetting the theoretical model
  • Thursday 23.04 15:15 – 18:30
  • The layout of the report – Tables and figures, the colour palette, fonts, headings, styles, sections, margins, headers, footers and other essentials of a professional looking publication
  • Friday 24.04 09:45 – 13:00
  • The editing process – wrapping it up and pulling it all together, checking for errors, managing versions and avoiding the deadline meltdown
Literature
    recommended literature
  • PALLANT, Julie. SPSS survival manual : a step by step guide to data analysis using SPSS. 4th ed. Maidenhead: Open University Press, 2010, xiv, 345. ISBN 9780335242399. info
Assessment methods
Students will be asked to hand in an assignment approximately two weeks after completion of the course to demonstrate their proficiency in presenting results. The assignment will be in the form of a short report where students show their skills in analysing data, making tables and graphs and formatting text.
Language of instruction
English
Further comments (probably available only in Czech)
The course is taught only once.
General note: Určeno magisterským studentům všech oborů.
The course is also listed under the following terms Spring 2014.
  • Enrolment Statistics (recent)
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