GESIS Training Courses
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Wiss. Koordination

Dipl.-Soz.
Sebastian E. Wenz
Tel: +49 221 47694-166

Administrative Koordination

Angelika Ruf
Tel: +49 221 47694-162

Sponsor

Sponsor

Sponsor

Sponsor

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Course 7: “Web Survey Instrument Design”

Dozent(en):
Prof. Mick P. Couper, PhD, Dr. Frederik Funke

Datum: 15.08 - 19.08.2016 ics-Datei

Veranstaltungsort: Cologne

Referenteninformationen - Prof. Mick P. Couper, PhD

Referenteninformationen - Dr. Frederik Funke

Seminarinhalt

The primary focus of the course is on helping participants design the best possible instruments for online data collection. The course will review the extensive empirical literature on the effect of design on measurement error in Web surveys, and provide practical examples and advice to maximize the quality of the data collected. Participants are encouraged to bring their own Web survey projects to class. Instructors will be using LimeSurvey (open source software) to demonstrate various design issues, but participants are free to use their own software if they wish.

 

Here you can find the full syllabus of the course with complete information on the topics, literature, and day-to-day schedule.

 

Keywords

Web surveys; online surveys; instrument design; measurement error



Zielgruppe

Participants will find the course useful if:
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Are designing or conducting online surveys or planning to do so;
  •  
Have some experience with (or knowledge of) questionnaire design.
  •  
The course will be particularly relevant for those with some prior experience with Web surveys.


Lernziel

By the end of the course participants will:
  •  
Be able to design a Web survey to maximize the quality of the survey responses collected;
  •  
Be familiar with the research literature and relevant theories on measurement error in Web surveys;
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Understand the role that design plays in the quality of data obtained from Web surveys.
  •  
Identify gaps in the methodological literature and design studies to address these gaps.


Voraussetzungen

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Familiarity with survey research methods;
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Ideally, students will have taken the course Introduction to Web surveys in the previous week, but this is not required.