Please use this identifier to cite or link to this item: https://doi.org/10.1186/1471-2458-7-182
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dc.titleMethods and representativeness of a European survey in children and adolescents: The KIDSCREEN study
dc.contributor.authorBerra, S
dc.contributor.authorRavens-Sieberer, U
dc.contributor.authorErhart, M
dc.date.accessioned2020-10-20T04:45:45Z
dc.date.available2020-10-20T04:45:45Z
dc.date.issued2007
dc.identifier.citationBerra, S, Ravens-Sieberer, U, Erhart, M (2007). Methods and representativeness of a European survey in children and adolescents: The KIDSCREEN study. BMC Public Health 7 : 182. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2458-7-182
dc.identifier.issn14712458
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/177990
dc.description.abstractBackground. The objective of the present study was to compare three different sampling and questionnaire administration methods used in the international KIDSCREEN study in terms of participation, response rates, and external validity. Methods. Children and adolescents aged 8-18 years were surveyed in 13 European countries using either telephone sampling and mail administration, random sampling of school listings followed by classroom or mail administration, or multistage random sampling of communities and households with self-administration of the survey materials at home. Cooperation, completion, and response rates were compared across countries and survey methods. Data on non-respondents was collected in 8 countries. The population fraction (PF, respondents in each sex-age, or educational level category, divided by the population in the same category from Eurostat census data) and population fraction ratio (PFR, ratio of PF) and their corresponding 95% confidence intervals were used to analyze differences by country between the KIDSCREEN samples and a reference Eurostat population. Results. Response rates by country ranged from 18.9% to 91.2%. Response rates were highest in the school-based surveys (69.0%-91.2%). Sample proportions by age and gender were similar to the reference Eurostat population in most countries, although boys and adolescents were slightly underrepresented (PFR <1). Parents in lower educational categories were less likely to participate (PFR <1 in 5 countries). Parents in higher educational categories were overrepresented when the school and household sampling strategies were used (PFR = 1.78-2.97). Conclusion. School-based sampling achieved the highest overall response rates but also produced slightly more biased samples than the other methods. The results suggest that the samples were sufficiently representative to provide reference population values for the KIDSCREEN instrument. © 2007 Berra et al; licensee BioMed Central Ltd.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectadolescent
dc.subjectadult
dc.subjectarticle
dc.subjectAustria
dc.subjectcontrolled study
dc.subjectCzech Republic
dc.subjectdemography
dc.subjecteducational status
dc.subjectEurope
dc.subjectfemale
dc.subjectFrance
dc.subjectGermany
dc.subjectGreece
dc.subjecthealth survey
dc.subjecthuman
dc.subjectHungary
dc.subjectIreland
dc.subjectmale
dc.subjectmass screening
dc.subjectoutcome variable
dc.subjectPoland
dc.subjectpsychometry
dc.subjectquality of life
dc.subjectquestionnaire
dc.subjectresponse variable
dc.subjectschool child
dc.subjectsex difference
dc.subjectsocial class
dc.subjectsocioeconomics
dc.subjectSpain
dc.subjectSweden
dc.subjectSwitzerland
dc.subjectUnited Kingdom
dc.subjectchild
dc.subjecthealth status
dc.subjectinstrumentation
dc.subjectinterview
dc.subjectmethodology
dc.subjectpsychometry
dc.subjectquality of life
dc.subjectquestionnaire
dc.subjectschool
dc.subjectstandard
dc.subjectAdolescent
dc.subjectChild
dc.subjectEurope
dc.subjectFemale
dc.subjectHealth Status
dc.subjectHealth Surveys
dc.subjectHumans
dc.subjectInterviews
dc.subjectMale
dc.subjectPsychometrics
dc.subjectQuality of Life
dc.subjectQuestionnaires
dc.subjectSchools
dc.subjectSocioeconomic Factors
dc.typeArticle
dc.contributor.departmentPSYCHOLOGY
dc.description.doi10.1186/1471-2458-7-182
dc.description.sourcetitleBMC Public Health
dc.description.volume7
dc.description.page182
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