From the publisher's website: Large groups in society, in particular people with low literacy, lack the necessary proactivity and problem-solving skills to be self-reliant. One omnipresent problem area where these skills are relevant regards filling in forms and questionnaires. These problems could be potentially alleviated by taking advantage of the possibilities of information and communication technology (ICT), for example by offering alternatives to text, interactive self-explaining scales and easily accessible background information on the questionnaires’ rationale. The goal of this paper was to present explorative design guidelines for developing interactive questionnaires for low-literate persons. The guidelines have been derived during a user-centered design process of the Dutch Talking Touch Screen Questionnaire (DTTSQ), an interactive health assessment questionnaire used in physical therapy. The DTTSQ was developed to support patients with low health literacy, meaning they have problems with seeking, understanding and using health information. A decent number of guidelines have been derived and presented according to an existing, comprehensive model. Also, lessons learned were derived from including low-literate persons in the user-centered design process. The guidelines should be made available to ICT developers and, when applied properly, will contribute to the advancement of (health) literacy and empower citizens to fully participate in society
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Challenges that surveys are facing are increasing data collection costs and declining budgets. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done into the effect on quality and costs of reducing the use of interviewers in mixed-mode surveys starting with internet observation, followed by telephone or face-to-face observation of internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. Currently, adaptive survey design is an option in redesigns of social surveys at Statistics Netherlands. In 2018 it has been implemented in the Health Survey and the Public Opinion Survey, in 2019 in the Life Style Monitor and the Leisure Omnibus, in 2021 in the Labour Force Survey, and in 2022 it is planned for the Social Coherence Survey. This paper elaborates on the development of the adaptive survey design for the Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and the six-month parallel design with corresponding response results.
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During the 2024 Open Science Retreat, the Measuring Open Science team collected, reviewed, and analyzed existing research into open science practices. As a team, we developed an interactive overview of open science surveys, which may be used e.g. to reuse questionnaire items on different open science practices.
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