This work aims to improve data collection by automating some parts of the manual work involve in managing survey projects with mixed-method data collection, furthermore, this work aims to improve response rate and response inflow by using historical data. Today, response rates have a downward trend and by analyzing previous data we investigate whether there are specific times or days where different groups are more willing to answer a survey. By making predictions on dispatches, the system also aims to be able to achieve a more even inflow of responses spread over several days. In this work, a web-based software is implemented and evaluated through tests on a real project. The tests shows that in the project the system is tested in, an increase in response rates can be achieved and prediction of responses can be made at sufficient level to achieve an even distribution.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-194231 |
Date | January 2023 |
Creators | Sandborg, David |
Publisher | Linköpings universitet, Interaktiva och kognitiva system |
Source Sets | DiVA Archive at Upsalla University |
Language | Swedish |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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