Abstract Submission Instructions
- Begin: Select "Enter a New Abstract."
- Enter Abstract Information: Select session type and topic. Next, enter the required information for your session type. Enter the abstract title, text, and keywords. When finished, select "Save and Proceed." There is a 2,000-character limit for abstract submissions that includes punctuation and spaces.
- Enter Authors: Select "Add an Author." Enter the speaking author's contact information (name, affiliation, address, phone number, email address, and email type). Be sure to select only one presenting author. Click on the "Save and Proceed" button at the bottom of the page. Add co-authors by selecting the "Add an Author" button. Co-author information also may be edited or removed from the abstract by using the corresponding buttons. When all authors have been added, select "Preview Your Abstract Submission."
- Preview: Review your abstract and author information and select the corresponding "Edit" buttons if needed. Once the abstract is complete, enter a password for your abstract (must be at least six characters) and select "Submit Abstract."
- Confirmation: Print and save the final confirmation screen with your abstract number for your records.
- Invited abstract submission is closed.
- All other abstracts will be accepted March 15 - May 24, 2016.
Only online submissions will be accepted.
The QDET2 organizing and program committees are accepting abstract submissions for contributed paper and e-poster sessions.
Submissions are especially encouraged for presentations that relate to the three main conference topics:
- Questionnaire Design
- Pretesting Methods
- Data Quality and Measurement Error
Within these topics, we encourage papers on the following sub-topics:
- Designing questionnaires in the digital era and implications for practice (e.g., mode choice, gamification, and alternative ways of presenting stimuli)
- Developments in the design and testing of establishment survey data-collection instruments
- Understanding interviewer-respondent interaction in survey interviews to improve questionnaire design
- What questionnaire designers can do to tackle response burden
- New approaches to questionnaire design and evaluation
- Developments in the measurement of attitudes, values, choices, preferences, behaviors, and emotions
- Approaches to collecting survey data on sensitive topics
- Deciding which pretesting method or methods to use
- Using pretesting methods to develop standardized survey questions for use in cross national/ cross cultural/ multi-lingual settings
- Web probing: considerations, uses and practices
- Managing and learning from iterative, multi-method pretesting
- Usability methods
- Pretesting methodology. Examples include: recruiting methods and practices, evaluation of newer or more novel methods, such as crowdsourcing, remote testing etc, validity and reliability of pretest results
Data Quality and Measurement Error
- Alternative ways to think about and measure validity and reliability in surveys
- Strategies for predicting data quality
- Strategies to tackle measurement errors in cross-national/cross-cultural questionnaire design
- Assessing alternative ways of collecting data (e.g., comparing survey measures, comparing survey measures with non-survey measures)
- Improving respondent engagement and motivation