ZUR589k The A-Z of survey data analysis

Faculty of Social Studies
Spring 2014
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 3. 3. 13:30–16:45 PC26, Tue 4. 3. 8:00–11:15 PC26, Wed 5. 3. 13:30–16:45 PC26, Thu 6. 3. 8:00–11:15 PC26, Fri 7. 3. 13:30–16:45 PC26, Mon 10. 3. 13:30–16:45 PC26
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 03.03 13:30 – 16:45 Overview of the process and the general task of analysing data – the link from theory to practical work
  • Tuesday 04.03 08:00 – 11:15 Exploring data – maintaining focus, avoiding unnecessary work and keeping a record of data transformations
  • Wednesday 05.03 13:30 – 16:45 Analysing data – deciding on the story, keeping notes of decisions, avoiding complex statistics and not forgetting the theoretical model
  • Thursday 06.03 08:00 – 11:15 Tables and figures – choosing between different types of charts and tables and making the all-important decision of a colour palette
  • Friday 07.03 13:30 – 16:45 The report – fonts, headings, styles, sections, margins, headers, footers and the essentials of a professional looking publication
  • Monday 10.03 13:30 – 16:45 The editing process – 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
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 2015.
  • Enrolment Statistics (Spring 2014, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2014/ZUR589k