偏见:在线招募和收集自闭症成年人数据的调查的机遇和挑战。

Eric Rubenstein, Sarah Furnier
{"title":"偏见:在线招募和收集自闭症成年人数据的调查的机遇和挑战。","authors":"Eric Rubenstein,&nbsp;Sarah Furnier","doi":"10.1089/aut.2020.0031","DOIUrl":null,"url":null,"abstract":"<p><p>Internet-based online surveys are a crucial tool for researchers to learn about the understudied and often overlooked population of autistic adults. The recruitment and administration of online surveys can be cheaper, quicker, and have a wider reach compared with more traditional in-person methods. As online surveys become more prevalent, it is important to place strengths in the context of limitations and biases that can arise when recruiting and administering surveys online. In this perspective, we discuss two common issues that often appear in studies that use online tools to recruit and administer surveys to autistic adults and nonautistic volunteers: selection bias and sample identifiability. Selection bias is the distortion in effect estimates (e.g., relative risk, risk ratio, incidence rate) resulting from the factors that influence why a person chose to participate or how the researcher recruits and selects participants in a study. Sampling identifiability is the ability (or inability) to quantify and define the population of interest. We use a case example of an online survey study of suicidal ideation in autistic adults and describe how issues in selection bias and sample identifiability arise and may lead to challenges unique to studying autistic adults. We conclude with recommendations to improve the quality and utility of online survey research in autistic adults. Using online resources to recruit and collect data on autistic adults is an incredible tool with great potential; yet, authors need to consider the limitations, potential biases, and tools to overcome systematic error at each stage of the study.</p><p><strong>Lay summary: </strong><b>What is the purpose of this article?:</b> Our purpose was to describe challenges in conducting and analyzing data from surveys of autistic adults, recruited and completed online.<b>What is already known on the topic?:</b> Health outcomes for autistic adults are understudied by crucial areas of autism research. While researchers are interested in the outcomes of autistic adults, this type of research is difficult because many autistic adults are not formally diagnosed, so not available to recruit for studies through clinic registries. Furthermore, study participation can be a long, inconvenient, and stressful process. It is not surprising then that we are seeing internet surveys of autistic adults become a popular tool to reach this population. We wanted to offer an overview and recommendations of these issues to researchers and people who read research about topics pertaining to autistic adults.<b>What are the perspectives of the authors?:</b> We are epidemiologists at Boston University and the University of Wisconsin-Madison. We both conduct research centered in improving health and well-being for autistic people across the life span. As people who study research methods, we have seen a lot of new research using survey methods. This research is intriguing, but all too often the articles need more information so we can be sure that the research is high quality. We want to share ways to improve this type of research and to help people in understanding the strengths and limitations of online survey research.<b>What do the authors recommend?:</b> We offer a few considerations for researchers working in this area. (1) Make the steps you took to do the research as clear as possible. (2) Be specific about who you intend to study and who you ended up studying. (3) Present the demographics and characteristics of the participants. (4) If possible, consider using data analysis methods to account for selection bias and sample identifiability issues. (5) Do not make statements that are not supported for your study results. (6) Acknowledge that we are at the beginning of studying autistic adults. (7) Advocate for more funding for research in autistic adults.<b>How will these recommendations help autistic adults now or in the future?:</b> Online surveys are an important tool for researchers to generate hypotheses and connect with a wider range of participants. However, online surveys have unique methodological challenges. We hope that this perspective raises the topic of bias and misinterpretation in online surveys and researchers continue to produce valid and meaningful work that is crucial to improving lives of autistic adults.</p>","PeriodicalId":72338,"journal":{"name":"Autism in adulthood : challenges and management","volume":" ","pages":"120-128"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/aut.2020.0031","citationCount":"14","resultStr":"{\"title\":\"#Bias: The Opportunities and Challenges of Surveys That Recruit and Collect Data of Autistic Adults Online.\",\"authors\":\"Eric Rubenstein,&nbsp;Sarah Furnier\",\"doi\":\"10.1089/aut.2020.0031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Internet-based online surveys are a crucial tool for researchers to learn about the understudied and often overlooked population of autistic adults. The recruitment and administration of online surveys can be cheaper, quicker, and have a wider reach compared with more traditional in-person methods. As online surveys become more prevalent, it is important to place strengths in the context of limitations and biases that can arise when recruiting and administering surveys online. In this perspective, we discuss two common issues that often appear in studies that use online tools to recruit and administer surveys to autistic adults and nonautistic volunteers: selection bias and sample identifiability. Selection bias is the distortion in effect estimates (e.g., relative risk, risk ratio, incidence rate) resulting from the factors that influence why a person chose to participate or how the researcher recruits and selects participants in a study. Sampling identifiability is the ability (or inability) to quantify and define the population of interest. We use a case example of an online survey study of suicidal ideation in autistic adults and describe how issues in selection bias and sample identifiability arise and may lead to challenges unique to studying autistic adults. We conclude with recommendations to improve the quality and utility of online survey research in autistic adults. Using online resources to recruit and collect data on autistic adults is an incredible tool with great potential; yet, authors need to consider the limitations, potential biases, and tools to overcome systematic error at each stage of the study.</p><p><strong>Lay summary: </strong><b>What is the purpose of this article?:</b> Our purpose was to describe challenges in conducting and analyzing data from surveys of autistic adults, recruited and completed online.<b>What is already known on the topic?:</b> Health outcomes for autistic adults are understudied by crucial areas of autism research. While researchers are interested in the outcomes of autistic adults, this type of research is difficult because many autistic adults are not formally diagnosed, so not available to recruit for studies through clinic registries. Furthermore, study participation can be a long, inconvenient, and stressful process. It is not surprising then that we are seeing internet surveys of autistic adults become a popular tool to reach this population. We wanted to offer an overview and recommendations of these issues to researchers and people who read research about topics pertaining to autistic adults.<b>What are the perspectives of the authors?:</b> We are epidemiologists at Boston University and the University of Wisconsin-Madison. We both conduct research centered in improving health and well-being for autistic people across the life span. As people who study research methods, we have seen a lot of new research using survey methods. This research is intriguing, but all too often the articles need more information so we can be sure that the research is high quality. We want to share ways to improve this type of research and to help people in understanding the strengths and limitations of online survey research.<b>What do the authors recommend?:</b> We offer a few considerations for researchers working in this area. (1) Make the steps you took to do the research as clear as possible. (2) Be specific about who you intend to study and who you ended up studying. (3) Present the demographics and characteristics of the participants. (4) If possible, consider using data analysis methods to account for selection bias and sample identifiability issues. (5) Do not make statements that are not supported for your study results. (6) Acknowledge that we are at the beginning of studying autistic adults. (7) Advocate for more funding for research in autistic adults.<b>How will these recommendations help autistic adults now or in the future?:</b> Online surveys are an important tool for researchers to generate hypotheses and connect with a wider range of participants. However, online surveys have unique methodological challenges. We hope that this perspective raises the topic of bias and misinterpretation in online surveys and researchers continue to produce valid and meaningful work that is crucial to improving lives of autistic adults.</p>\",\"PeriodicalId\":72338,\"journal\":{\"name\":\"Autism in adulthood : challenges and management\",\"volume\":\" \",\"pages\":\"120-128\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1089/aut.2020.0031\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Autism in adulthood : challenges and management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/aut.2020.0031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/6/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Autism in adulthood : challenges and management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/aut.2020.0031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/6/7 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

基于互联网的在线调查是研究人员了解研究不足且经常被忽视的自闭症成年人群体的重要工具。与更传统的面对面调查方法相比,在线调查的招聘和管理可以更便宜、更快、覆盖面更广。随着在线调查越来越普遍,重要的是要将优势放在招聘和管理在线调查时可能出现的局限性和偏见的背景下。从这个角度来看,我们讨论了在使用在线工具招募和管理自闭症成年人和非自闭症志愿者调查的研究中经常出现的两个常见问题:选择偏见和样本可识别性。选择偏差是指影响一个人为什么选择参与或研究人员如何招募和选择研究参与者的因素导致的效果估计(如相对风险、风险比、发病率)的失真。抽样可识别性是指能够(或不能)量化和定义感兴趣的群体。我们以一项关于自闭症成年人自杀意念的在线调查研究为例,描述了选择偏见和样本可识别性问题是如何产生的,并可能导致研究自闭症成年人特有的挑战。最后,我们提出了提高自闭症成年人在线调查研究质量和实用性的建议。利用在线资源招募和收集自闭症成年人的数据是一种极具潜力的令人难以置信的工具;然而,作者需要考虑研究的每个阶段的局限性、潜在的偏见和克服系统错误的工具。概述:这篇文章的目的是什么?:我们的目的是描述在进行和分析在线招募和完成的自闭症成年人调查数据方面面临的挑战。关于这个话题已经知道了什么?:自闭症研究的关键领域对自闭症成年人的健康结果研究不足。虽然研究人员对自闭症成年人的结果感兴趣,但这类研究很困难,因为许多自闭症成年人没有被正式诊断,因此无法通过临床登记招募进行研究。此外,参与学习可能是一个漫长、不方便、压力大的过程。因此,我们看到对自闭症成年人的互联网调查成为接触这一人群的流行工具也就不足为奇了。我们想向研究人员和阅读有关自闭症成年人主题研究的人提供这些问题的概述和建议。作者的观点是什么?:我们是波士顿大学和威斯康星大学麦迪逊分校的流行病学家。我们都进行了以改善自闭症患者一生的健康和福祉为中心的研究。作为研究研究方法的人,我们看到了许多使用调查方法的新研究。这项研究很有趣,但文章往往需要更多的信息,这样我们才能确信研究是高质量的。我们希望分享改进这类研究的方法,并帮助人们了解在线调查研究的优势和局限性。作者推荐什么?:我们为这一领域的研究人员提供了一些考虑因素。(1) 尽可能清楚地说明你为进行研究所采取的步骤。(2) 具体说明你打算学习谁以及你最终学习了谁。(3) 介绍参与者的人口统计和特点。(4) 如果可能的话,考虑使用数据分析方法来解释选择偏差和样本可识别性问题。(5) 不要发表不支持你的研究结果的言论。(6) 承认我们正处于研究自闭症成年人的开端。(7) 倡导为自闭症成年人的研究提供更多资金。这些建议现在或将来将如何帮助自闭症成年人?:在线调查是研究人员产生假设并与更广泛参与者联系的重要工具。然而,在线调查具有独特的方法挑战。我们希望这一观点在在线调查中引发偏见和误解的话题,研究人员继续开展有效和有意义的工作,这对改善自闭症成年人的生活至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
#Bias: The Opportunities and Challenges of Surveys That Recruit and Collect Data of Autistic Adults Online.

Internet-based online surveys are a crucial tool for researchers to learn about the understudied and often overlooked population of autistic adults. The recruitment and administration of online surveys can be cheaper, quicker, and have a wider reach compared with more traditional in-person methods. As online surveys become more prevalent, it is important to place strengths in the context of limitations and biases that can arise when recruiting and administering surveys online. In this perspective, we discuss two common issues that often appear in studies that use online tools to recruit and administer surveys to autistic adults and nonautistic volunteers: selection bias and sample identifiability. Selection bias is the distortion in effect estimates (e.g., relative risk, risk ratio, incidence rate) resulting from the factors that influence why a person chose to participate or how the researcher recruits and selects participants in a study. Sampling identifiability is the ability (or inability) to quantify and define the population of interest. We use a case example of an online survey study of suicidal ideation in autistic adults and describe how issues in selection bias and sample identifiability arise and may lead to challenges unique to studying autistic adults. We conclude with recommendations to improve the quality and utility of online survey research in autistic adults. Using online resources to recruit and collect data on autistic adults is an incredible tool with great potential; yet, authors need to consider the limitations, potential biases, and tools to overcome systematic error at each stage of the study.

Lay summary: What is the purpose of this article?: Our purpose was to describe challenges in conducting and analyzing data from surveys of autistic adults, recruited and completed online.What is already known on the topic?: Health outcomes for autistic adults are understudied by crucial areas of autism research. While researchers are interested in the outcomes of autistic adults, this type of research is difficult because many autistic adults are not formally diagnosed, so not available to recruit for studies through clinic registries. Furthermore, study participation can be a long, inconvenient, and stressful process. It is not surprising then that we are seeing internet surveys of autistic adults become a popular tool to reach this population. We wanted to offer an overview and recommendations of these issues to researchers and people who read research about topics pertaining to autistic adults.What are the perspectives of the authors?: We are epidemiologists at Boston University and the University of Wisconsin-Madison. We both conduct research centered in improving health and well-being for autistic people across the life span. As people who study research methods, we have seen a lot of new research using survey methods. This research is intriguing, but all too often the articles need more information so we can be sure that the research is high quality. We want to share ways to improve this type of research and to help people in understanding the strengths and limitations of online survey research.What do the authors recommend?: We offer a few considerations for researchers working in this area. (1) Make the steps you took to do the research as clear as possible. (2) Be specific about who you intend to study and who you ended up studying. (3) Present the demographics and characteristics of the participants. (4) If possible, consider using data analysis methods to account for selection bias and sample identifiability issues. (5) Do not make statements that are not supported for your study results. (6) Acknowledge that we are at the beginning of studying autistic adults. (7) Advocate for more funding for research in autistic adults.How will these recommendations help autistic adults now or in the future?: Online surveys are an important tool for researchers to generate hypotheses and connect with a wider range of participants. However, online surveys have unique methodological challenges. We hope that this perspective raises the topic of bias and misinterpretation in online surveys and researchers continue to produce valid and meaningful work that is crucial to improving lives of autistic adults.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Community Member Views on Autism Intervention: Effects of Closeness to Autistic People with Intellectual Disabilities And Nonspeaking Autistic People. Call for Papers: Autism and Aging: A Lifespan Approach: Deadline for Manuscript Submission: January 15, 2024. A Qualitative Study of Autistic Adults' Quality of Life During the COVID-19 Pandemic and Lockdowns. Autistic People and Moving Home: A Systematic Review. Early-Career Autism Researchers Are Shifting Their Research Directions: Tragedy or Opportunity?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1