Satisficing in the survey
The respondents’ behaviour during the survey is influenced by various factors: the complexity of the questionnaire, the respondent’s ability and the respondent’s motivation. In long surveys, it often happens that respondents become tired, uninterested, impatient and scattered. This can lead to the respondent responding according to the satisfaction theory. This is an alternative form of behaviour for respondents who lack the engagement, but for various reasons (e.g. contract, awards, feelings of shame, habit, curiosity, etc.) nevertheless participate in the survey.
Whether respondents satisfy the questionnaire according to the satisfaction principle can be identified by different response patterns: choosing the first answer, selecting the mean, choosing the last answer, random selection, selecting the final and first values for matrix questions (tables) and using the answer ‘Do not know’, time of completing the survey.
Approaches to reducing fulfilling the survey in compliance with the satisficing principle
1. Before collecting data:
- If possible, let the questionnaire be short, simple questions, and occasionally include questions where respondents need to explain their answer. We put important questions to the beginning.
- The motivation of respondents can be enhanced with an emphasis on the relevance of the study.
- We facilitate the task of the respondents by reducing the complexity of the text of the questions, avoiding questions about events that would be more difficult for the respondents to recall, complex questions are rearranged into more questions, we name all the answers.
- The effect of the response can be reduced by randomizing responses, avoiding table type questions and non-query answers.
2. During data collection:
- At the time of data collection, we can monitor the time when the survey is completed, which, in case, the survey is completed much faster than predicted, indicates that the possibility of fulfilling the survey by satisficing principle. It should be noted, however, that the quick completion of the survey is not necessarily an indicator of satisficing.
3. After collecting data:
- After the data collection has been completed, we can remove the answers or even the units (or use the data insertion methods) from the analysis, where we see the occurrence of satisficing and thus improve the quality of the data.
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- Satisficing in the survey
- Verification of user’s attention with the use of a “trap” question
- Text (type of question)
- Disabling the question for respondents
- GDPR survey settings
- Image Hotspot question type
- The use of conditions
- Option to hide radio and checkbox buttons next to categories
- 'Heatmap' Question
- Additional settings for the introduction and conclusion
- Semantic differential
- Display the list of open answers in the survey
- Changing the size of radio and checkbox buttons
- Insert numerical answers with slider
- Hiding answers in already active survey
- Registration form
- Survey duration based on date or the number of responses
- Recommendations for questionnaire creation
- Uploading a file
- Survey settings
- Loop
- The double grid table
- Tabs in the questionnaire
- Voting
- Inserting images into your questionnaire
- Electronic signature
- Survey preview
- Creating sub-samples: half of the respondents gets one question, while the other half a different question
- Including a video or flash player in your survey
- Glossary
- Set up of drag and drop question type
- Drill-down: sequential filtering of questions
- Import text - copying text to 1KA
- Settings for exporting PDF/RTF files with responses
- Granting access to helpdesk
- Edit response's values
- 'Take a picture' question type
- Export (Survey archive)
- Mobile survey adjustments
- Accessibility of surveys for people with special needs
- Recommendations for minimizing non-response
- How to repeat the tittle bar in a table
- Advanced questionnaire editing settings
- Structuring questions into blocks
- Setting up a static first page (introduction)
- Placing answers on stripe
- Step by step mode with table question type
- Standard demographics
- Usage of 'location' question type
- System variables in conditions
- Creating respondent groups
- Design
- Different ways to display a question for the date
- Default answer labels
- Your first survey
- Key features that an advanced user should know
- Data display (settings)
- Image type of question layout
- Organizing surveys in folders
- Settings for respondent access: cookies and passwords
- Transfering values from the answer of one question into the text of another question ( data piping)
- Labelling a question as mandatory
- E-mail (type of question)
- Using the IP address and cookies to control duplicate entries
- Measurement and time limitations for responses
- Editing options in the question taskbar
- 1KA settings for email notifications for completed surveys and insight into the respondent's answers
- 1KA registration and login
- Comments
- Combined table
- Advanced adding of images as an answer
- Adding editorial access on 1ka.arnes.si
- Notifications
- Visual Analogue Scale
- Classifying or ranking
- Use of editor when editing questions
- Recommendations for online surveys on a mobile phone
- Adding a new language for the standard words