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Auteur Eya-Mist RØDGAARD |
Documents disponibles écrits par cet auteur (1)
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Representativeness of autistic samples in studies recruiting through social media / Eya-Mist RØDGAARD in Autism Research, 15-8 (August 2022)
[article]
Titre : Representativeness of autistic samples in studies recruiting through social media Type de document : Texte imprimé et/ou numérique Auteurs : Eya-Mist RØDGAARD, Auteur ; Kristian JENSEN, Auteur ; Kamilla Woznica MISKOWIAK, Auteur ; Laurent MOTTRON, Auteur Article en page(s) : p.1447-1456 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/epidemiology Autistic Disorder Humans Intellectual Disability/epidemiology Social Media Surveys and Questionnaires autism online recruitment sampling bias selection bias Index. décimale : PER Périodiques Résumé : Survey-based research with recruitment through online channels is a convenient way to obtain large samples and has recently been increasingly used in autism research. However, sampling from online channels may be associated with a high risk of sampling bias causing findings not to be generalizable to the autism population. Here we examined autism studies that have sampled on social media for markers of sampling bias. Most samples showed one or more indicators of sampling bias, in the form of reversed sex ratio, higher employment rates, higher education level, lower fraction of individuals with intellectual disability, and later age of diagnosis than would be expected when comparing with for example population study results from published research. Findings from many of the included studies are therefore difficult to generalize to the broader autism population. Suggestions for how research strategies may be adapted to address some of the problems are discussed. LAY SUMMARY: Online surveys offer a convenient way to recruit large numbers of participants for autism research. However, the resulting samples may not fully reflect the autism population. Here we investigated the samples of 36 autism studies that recruited participants online and found that the demographic composition tended to deviate from what has been reported about the autism population in previous research. The results may thus not be generalizable to autism in general. En ligne : http://dx.doi.org/10.1002/aur.2777 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483
in Autism Research > 15-8 (August 2022) . - p.1447-1456[article] Representativeness of autistic samples in studies recruiting through social media [Texte imprimé et/ou numérique] / Eya-Mist RØDGAARD, Auteur ; Kristian JENSEN, Auteur ; Kamilla Woznica MISKOWIAK, Auteur ; Laurent MOTTRON, Auteur . - p.1447-1456.
Langues : Anglais (eng)
in Autism Research > 15-8 (August 2022) . - p.1447-1456
Mots-clés : Autism Spectrum Disorder/epidemiology Autistic Disorder Humans Intellectual Disability/epidemiology Social Media Surveys and Questionnaires autism online recruitment sampling bias selection bias Index. décimale : PER Périodiques Résumé : Survey-based research with recruitment through online channels is a convenient way to obtain large samples and has recently been increasingly used in autism research. However, sampling from online channels may be associated with a high risk of sampling bias causing findings not to be generalizable to the autism population. Here we examined autism studies that have sampled on social media for markers of sampling bias. Most samples showed one or more indicators of sampling bias, in the form of reversed sex ratio, higher employment rates, higher education level, lower fraction of individuals with intellectual disability, and later age of diagnosis than would be expected when comparing with for example population study results from published research. Findings from many of the included studies are therefore difficult to generalize to the broader autism population. Suggestions for how research strategies may be adapted to address some of the problems are discussed. LAY SUMMARY: Online surveys offer a convenient way to recruit large numbers of participants for autism research. However, the resulting samples may not fully reflect the autism population. Here we investigated the samples of 36 autism studies that recruited participants online and found that the demographic composition tended to deviate from what has been reported about the autism population in previous research. The results may thus not be generalizable to autism in general. En ligne : http://dx.doi.org/10.1002/aur.2777 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483