Scott Crawford - Equity & Inclusion in Accessible Survey Design -Inclusive Research Matters Seminar Series - December 8, 2021
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Scott Crawford
Scott Crawford is a Research Consultant and Founder of SoundRocket, a social science research firm located in Ann Arbor, Michigan. Scott has a Masters in Applied Social Research from the University of Michigan, Ann Arbor, and a BA in Sociology from the University of the Pacific, has focused his career on the use of innovative technologies in social science research (web, multi-mode, mobile, and Internet-of-Things). Scott is also currently a student at Johns Hopkins University in the MA Science Writing program. Scott routinely blogs on topics related to his work on The Launch Pad blog (http://www.soundrocket.com/soundrocket-blog/). He has assisted in the implementation of survey research projects for hundreds of researchers and research institutions (http://www.soundrocket.com/customers), and has led innovative collaborative research projects including the National Campus Climate Survey, the Multi-Institutional Study of Leadership, and the pGen and PeopleSeq data collection efforts. Among the survey methodological interests noted above, Scott is also pursuing his interests in improving how the field of social science communicates its research to the general population. Recently, Scott has overseen several higher education-based campus climate surveys of diversity, equity, and inclusion (including at the University of Michigan), where a focus of the study design has included maximizing the ability for individuals who use screen reader technologies to participate equitably
Equity & Inclusion in Accessible Survey Design
As we work to adapt research designs to make use of new technologies (web and
smart devices), it is also important to consider how study design and survey
design may impact those who rely on assistive technology. Sections 508
(covering use of accessible information and communication technology) and
501(addressing reasonable accommodation) of the Rehabilitation Act of 1973
compliance standards have been around for a long time—but the survey research
industry has often taken the path providing reasonable (non-technological)
accommodations for study participants. These often involve alternate modes of
data collection, but rarely provide a truly equitable solution for study
participation. If a web-based survey is not compliant with assistive
technologies, the participant may be offered the option of completing a survey
with an interviewer. Survey methodologists know well that introducing a live
human interaction may change how participants respond—especially if the study
involves sensitive topics. Imagine a workplace survey on Diversity, Equity, and
Inclusion where a sight-impaired employee is asked to answer questions about
how they are treated in their workplace, but they are required to answer these
questions through an interviewer, and not privately via a website. Not only is
this request not equitable for the employee (fully sighted employees get to
respond more privately), it can also bias the results if the participant is not
honest about the struggle for fear of receiving backlash from their employer if
the interviewer passed along their frustrations. In the act of being denied
equitable participation, future decisions will then be made on potentially
faulty results about the experience of such people.
In this presentation, I will focus on developing an equitable research design,
partially through considering the overall study—not just the technology itself.
But we will also share experiences in the development of a highly accessible
web-based survey that is compliant with screen reading technology (screen
readers, mouse input grids, voice, keyboard navigation, etc.). I will present
experimental, anecdotal, and descriptive experiences with accessible web-based
surveys and research designs in higher education student, faculty, and staff
surveys conducted on the topic of Diversity, Equity, and Inclusion. Our results
will be directly relevant for inclusion and equity in these settings as well as
some surprising unintended positive consequences of some of these design
decisions. Lastly, I will also share some next steps for where the field may go
in continuing to improve in these areas.
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