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Large-Scale Comparative School-Based Survey Research: Challenges and Solutions for Sampling, Fieldwork and Informed Consent
[journal article]
Abstract Based on our experiences with implementing the comparative school-based ySKILLS survey in six European countries, this article investigates the preparation of fieldwork in school-based surveys. This includes the sampling strategies and recruitment of schools and (secondary level) students, the conti... view more
Based on our experiences with implementing the comparative school-based ySKILLS survey in six European countries, this article investigates the preparation of fieldwork in school-based surveys. This includes the sampling strategies and recruitment of schools and (secondary level) students, the continuous collaboration with schools, as well as collecting parental consent. By interviewing the national survey experts, we found that previously described challenges of school-based survey research have become specifically relevant during the COVID-19 pandemic. Our results further show that collaborating with schools is demanding and that collecting active parental consent involves problems regarding a non-response bias as well as ethical concerns about children’s rights. For future research, we have identified seven general preconditions and facilitating factors regarding the recruitment and collaboration with schools for a successful implementation of school-based surveys. Regarding informed consent, we provide seven ethical and practical recommendations for research policy and future studies.... view less
Keywords
survey research; field research; sample; participant; recruitment; legal factors; survey; pupil; female pupil
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
school-based survey; fieldwork; informed consent; sampling; response rate; COVID-19; ySKILLS
Document language
English
Publication Year
2023
Page/Pages
p. 303-324
Journal
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 17 (2023) 2
ISSN
2190-4936
Status
Published Version; peer reviewed