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https://doi.org/10.12758/mda.2023.03
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Large-Scale Comparative School-Based Survey Research: Challenges and Solutions for Sampling, Fieldwork and Informed Consent
[Zeitschriftenartikel]
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... mehr
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.... weniger
Thesaurusschlagwörter
Umfrageforschung; Feldforschung; Stichprobe; Teilnehmer; Rekrutierung; rechtliche Faktoren; Befragung; Schüler; Schülerin
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
school-based survey; fieldwork; informed consent; sampling; response rate; COVID-19; ySKILLS
Sprache Dokument
Englisch
Publikationsjahr
2023
Seitenangabe
S. 303-324
Zeitschriftentitel
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 17 (2023) 2
ISSN
2190-4936
Status
Veröffentlichungsversion; begutachtet (peer reviewed)