The project aims at improving the data quality in the Norwegian AES 2022 by focusing on two tasks, namely improving the user experience, and improving the sampling and weighting design. The user experience task encompasses two main sub-tasks: firstly, to test and improve new and existing AES questions. Secondly, to map the user (respondent) journey and to develop strategies for reaching and communicating with underrepresented groups in a mixed/multi-mode setup. Methods used include expert evaluation, focus groups, cognitive interviewing and usability testing. We selected the underrepresented groups based on earlier experiences which show that young adults and adults with low educational attainment (below ISCED level 3) are underrepresented in surveys.
The second task of the project is related to methodological work on AES sampling design and weighting scheme. The aim of this task is to improve the sampling design and to explore how to use register information on participation in formal education and training in the weighting procedure. By using register information on formal education and training as a weighting variable in the 18 to 24 age group, we aim at reducing bias in estimates. Using register information also reduces the overall response burden and we aim at improving the data quality and assuring that data comply with precision requirements.
The project period was September 2021–April 2023. This report gives an overview on the results of the grants project.