Rubenstein Eric, Furnier Sarah
Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
Autism Adulthood. 2021 Jun 1;3(2):120-128. doi: 10.1089/aut.2020.0031. Epub 2021 Jun 7.
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.
Our purpose was to describe challenges in conducting and analyzing data from surveys of autistic adults, recruited and completed online. 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. 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. 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. 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.
基于互联网的在线调查是研究人员了解未得到充分研究且常被忽视的成年自闭症患者群体的重要工具。与更传统的面对面调查方法相比,在线调查的招募和实施成本更低、速度更快,且覆盖范围更广。随着在线调查越来越普遍,在在线招募和实施调查时可能出现的局限性和偏差的背景下审视其优势就显得尤为重要。在这篇观点文章中,我们讨论了在使用在线工具对成年自闭症患者和非自闭症志愿者进行调查招募和实施过程中经常出现的两个常见问题:选择偏倚和样本可识别性。选择偏倚是指由于影响人们参与研究的原因或研究人员招募和选择参与者的方式等因素导致效应估计值(如相对风险、风险比、发病率)出现偏差。抽样可识别性是指量化和界定目标人群的能力(或无此能力)。我们以一项关于成年自闭症患者自杀意念的在线调查研究为例,描述了选择偏倚和样本可识别性问题是如何产生的,以及这些问题可能给成年自闭症患者研究带来的独特挑战。我们最后提出了提高成年自闭症患者在线调查研究质量和效用的建议。利用在线资源招募和收集成年自闭症患者的数据是一个极具潜力的强大工具;然而,作者在研究的每个阶段都需要考虑局限性、潜在偏差以及克服系统误差的工具。
我们的目的是描述在对通过在线方式招募并完成调查的成年自闭症患者进行调查及数据分析时所面临的挑战。成年自闭症患者的健康状况在自闭症研究的关键领域中未得到充分研究。虽然研究人员对成年自闭症患者的状况感兴趣,但这类研究很困难,因为许多成年自闭症患者未得到正式诊断,所以无法通过诊所登记系统招募参与研究。此外,参与研究可能是一个漫长、不便且压力大的过程。因此,成年自闭症患者的互联网调查成为接触这一群体的流行工具也就不足为奇了。我们希望为研究人员以及阅读有关成年自闭症患者相关研究的人提供这些问题的概述和建议。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。我们都开展以改善自闭症患者一生的健康和福祉为核心的研究。作为研究研究方法的人员,我们看到了很多使用调查方法的新研究。这些研究很有趣,但很多文章往往需要更多信息,以便我们能确定研究质量很高。我们想分享改进这类研究的方法,并帮助人们理解在线调查研究的优势和局限性。我们为从事这一领域研究的人员提供了一些注意事项。(1)尽可能清晰地说明你进行研究所采取的步骤。(2)明确你打算研究的对象以及最终实际研究的对象。(3)呈现参与者的人口统计学特征和特点。(4)如果可能,考虑使用数据分析方法来处理选择偏倚和样本可识别性问题。(5)不要做出没有研究结果支持的陈述。(6)承认我们正处于成年自闭症患者研究的起步阶段。(7)倡导为成年自闭症患者研究提供更多资金。在线调查是研究人员生成假设并接触更广泛参与者的重要工具。然而,在线调查存在独特的方法学挑战。我们希望这篇观点文章能引发对在线调查中偏差和误解问题的讨论,并且研究人员能继续开展对改善成年自闭症患者生活至关重要的有效且有意义的研究。