ZUR589k The A-Z of survey data analysis

Fakulta sociálních studií
jaro 2015
Rozsah
1/1. 8 kr. Ukončení: z.
Vyučující
Kjartan Ólafsson, M.A. (přednášející)
Mgr. Klára Šmídová (pomocník)
Garance
prof. PhDr. David Šmahel, Ph.D.
Katedra mediálních studií a žurnalistiky – Fakulta sociálních studií
Kontaktní osoba: Ing. Bc. Pavlína Brabcová
Dodavatelské pracoviště: Katedra mediálních studií a žurnalistiky – Fakulta sociálních studií
Rozvrh
Po 20. 4. 13:30–16:45 PC25, Út 21. 4. 9:45–13:00 PC25, St 22. 4. 15:15–18:30 PC25, Čt 23. 4. 15:15–18:30 PC25, Pá 24. 4. 9:45–13:00 PC25
Předpoklady
SOUHLAS
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Předmět si smí zapsat nejvýše 15 stud.
Momentální stav registrace a zápisu: zapsáno: 0/15, pouze zareg.: 0/15, pouze zareg. s předností (mateřské obory): 0/15
Mateřské obory/plány
Cíle předmětu
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).
Osnova
  • 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
Literatura
    doporučená literatura
  • 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
Metody hodnocení
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.
Vyučovací jazyk
Angličtina
Informace učitele
About the instructor Kjartan Ólafsson is a lecturer at the University of Akureyri in Iceland and a visiting researcher at both Masaryk University and at the London School of Economics. He has an extensive experience in doing survey research and has played a key role in the design and implementation of a number of cross national research projects on children’s media use. Amongst these is the 2010 EU Kids Online study which has been a landmark project in the field of media studies in Europe. He has also taught research methods and quantitative data analysis for many years to students both at graduate and under graduate levels.
Další komentáře
Předmět je vyučován jednorázově.
Určeno magisterským studentům všech oborů.
Předmět je zařazen také v obdobích jaro 2014.
  • Statistika zápisu (nejnovější)
  • Permalink: https://is.muni.cz/predmet/fss/jaro2015/ZUR589k