Dear Survey Methododologists,
We kindly invite you to submit an abstract to our session "Design of
Response Scales in (Mobile) Web Surveys" at next year's ESRA conference.
This session focuses on the latest methodology research on ratings
scales for desktop and mobile surveys. The two main topics are the
implementation of graphical rating scales in online surveys, and the
design of answer formats for online, mixed-device, or mobile surveys.
Web surveys offer a wide range of possibilities to design answer
scales that are unique to this mode of data collection. Graphical
elements like for example slider scales are sometimes used as
replacement for rather conventional HTML elements (e.g., radio buttons
or checkboxes). Yet the question remains if the quality of these data
is the same, there might also be a difference between measurement
effects and respondent preferences.
Furthermore, the use of mobile phones or tablets increases. Thus,
researchers face new challenges when designing response scales also
for small screen devices or devices that are operated by touch screen.
Liquid or responsive questionnaire designs (e.g., grid questions on
desktop computers versus one item per page on smartphones) as well as
new HTML5 input types try to tackle these problems. However, this
actually leads to different question contexts, which could affect
question understanding and data quality. For example, rating scales
optimized for touch screen devices (e.g., HTML5 slider scales or
date/time picker) could lead to different ratings on desktop computers.
We encourage submitting papers with a focus on - the impact of
graphical rating scales on data quality - the implementation of
response scales in mixed-device or mobile Web surveys - new HTML5
input types (e.g., date/time picker, range, or autocomplete)
Deadline is January 15. Papers can be submitted at the ESRA Website:
http://www.europeansurveyresearch.org/conference
("To submit a presentation abstract, sign up or log in to your ESRA
account, click 'Submit a paper abstract' and follow the instructions.")
Looking forward to seeing you,
Franziska Gebhard, University of Mannheim
Vera Toepoel, Utrecht University
Frederik Funke, datamethods.net & LINK Institut
--
Dr. Frederik Funke
http://datamethods.net
statistics & surveys: consulting · data analysis · training · research
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