Gregor Čehovin, Ph. D., and Nejc Berzelak, Ph. D., from the Centre for Social Informatics participated in the international conference General Online Research (GOR) 2020. Due to the Covid-19 pandemic, the conference was held online on September 10 and 11, 2020. They presented the paper “Designing Grid Questions in Smartphone Surveys: A Review of Current Practice and Data Quality Implications” in the session A.3.2 (Scales and Questions). The paper is a systematic literature review and investigates response quality in grid questions in web surveys conducted on personal computers and mobile phones. The grid questions are analyzed with respect to indicators on satisficing, missing data, socially desirable answers, measurement quality, multitasking, response times, subjective survey evaluation and comparability between devices. In this context, the paper summarizes the response quality implications of different approaches to the design of grid questions in web surveys. The conference GOR is organized annually by German Society for Online Research. Online research is an extremely innovative field, covering not only the classic areas of online research methods but also mobile and social media research.
B.03 Paper at an international scientific conference
COBISS.SI-ID: 28610819The Faculty of Social Sciences, Centre for Social Informatics (CSI) organised the traditional annual Workshop on mixed mode surveys, which took place on 23 September 2020. It was attended by researchers from CSI, Statistical Office of the Republic of Slovenia, the National Institute of Public Health and academic sector to exchange the results in the field of web and mixed mode surveys. The event was organised and led by prof. Vasja Vehovar, PhD. The participants discussed the latest trends in the area of survey costs and their experience with previous methodological activities. In this context they discussed the cost and methodological aspects of online, face-to-face and mail surveys, the challenges of mixed and international surveys, the standardization of paradata and the detection of speeders in online surveys.
B.01 Organiser of a scientific meeting
Based on the project, 1KA feature extensions related to data quality and paradata were implemented. The extension of 1KA's web panel interfacing function enabled the collection of survey data in several languages and paradata in integration with an individual web panel. The set of data collection specific to mobile devices and the data related to the properties of different types of devices (e.g. PC, mobile phone) have been expanded. Various non-response indicators were developed at the level of the respondent and at the level of the questionnaire. These include indicators of breakoffs (e.g. introduction breakoff rate, gross and net questionnaire breakoff rate) and indicators of usability of respondents (e.g. unit completeness level, unit missing-data level). Extensions have been implemented in the 1KA mobile application, which enables monitoring the progress of the online survey, which is connected to the web panel. The first development version of an Android application for collecting survey and sensor data on mobile devices has been developed. It already enables integrated retrieval of both data types by supporting display of web survey questionnaires and survey notifications as well as advanced services for location tracking and activity recognition. Developed were also features for continuous survey data collection according to preset intervals, which enable the direct utilisation of the application for diary and similar studies. A special attention was devoted to the collection of diagnostic data collection paradata, which will be particularly important for the experimental studies that are going to be conducted in the project. The application presents an important innovation as it combines advanced solutions for integrated survey and sensor data collection with a focus on general usability for a variety of substantive research purposes.
F.07 Improvements to an existing product
COBISS.SI-ID: 36677725