"We have been magnified for years - Now you are under the microscope!": Co-researchers with Learning Disabilities Created an Online Survey to Challenge Public Understanding of Learning Disabilities.
Dorota Chapko, Pino Frumiento, Nalini Edwards, Lizzie Emeh, Donald Kennedy, David McNicholas, Michaela Overton, Mark Snead, Robyn Steward, Jenny M Sutton, Evie Jeffreys, Catherine Long, Jess Croll-Knight, Ben Connors, Sam Castell-Ward, David Coke, Bethany McPeake, William Renel, Chris McGinley, Anna Remington, Dora Whittuck, John Kieffer, Sarah Ewans, Mark Williams, Mick Grierson
{"title":"\"We have been magnified for years - Now you are under the microscope!\": Co-researchers with Learning Disabilities Created an Online Survey to Challenge Public Understanding of Learning Disabilities.","authors":"Dorota Chapko, Pino Frumiento, Nalini Edwards, Lizzie Emeh, Donald Kennedy, David McNicholas, Michaela Overton, Mark Snead, Robyn Steward, Jenny M Sutton, Evie Jeffreys, Catherine Long, Jess Croll-Knight, Ben Connors, Sam Castell-Ward, David Coke, Bethany McPeake, William Renel, Chris McGinley, Anna Remington, Dora Whittuck, John Kieffer, Sarah Ewans, Mark Williams, Mick Grierson","doi":"10.1145/3313831.3376278","DOIUrl":null,"url":null,"abstract":"<p><p>Public attitudes towards learning disabilities (LDs) are generally reported as positive, inclusive and empathetic. However, these findings do not reflect the lived experiences of people with LDs. To shed light on this disparity, a team of co-researchers with LDs created the first online survey to challenge public understanding of LDs, asking questions in ways that are important to them and represent how they see themselves. Here, we describe and evaluate the process of creating an accessible survey platform and an online survey in a research team consisting of academic and non-academic professionals with and without LDs or autism. Through this inclusive research process, the co-designed survey met the expectations of the co-researchers and was well-received by the initial survey respondents. We reflect on the co-researchers' perspectives following the study completion, and consider the difficulties and advantages we encountered deploying such approaches and their potential implications on future survey data analysis.</p>","PeriodicalId":74552,"journal":{"name":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","volume":"20 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3313831.3376278","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3313831.3376278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/4/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Public attitudes towards learning disabilities (LDs) are generally reported as positive, inclusive and empathetic. However, these findings do not reflect the lived experiences of people with LDs. To shed light on this disparity, a team of co-researchers with LDs created the first online survey to challenge public understanding of LDs, asking questions in ways that are important to them and represent how they see themselves. Here, we describe and evaluate the process of creating an accessible survey platform and an online survey in a research team consisting of academic and non-academic professionals with and without LDs or autism. Through this inclusive research process, the co-designed survey met the expectations of the co-researchers and was well-received by the initial survey respondents. We reflect on the co-researchers' perspectives following the study completion, and consider the difficulties and advantages we encountered deploying such approaches and their potential implications on future survey data analysis.