Where Have All the Participants Gone?

Workshop: Where Have All the Participants Gone?

For language researchers who investigate language learning and language use among smaller populations—such as speakers of less-commonly taught languages, foreign language learners from smaller programs, or speakers from certain clinical populations—the COVID-19 pandemic not only exacerbated existing issues but also introduced new challenges regarding participant recruitment and retention. As we (hopefully) come out of “COVID-19 “mode”, this workshop provides an open forum for researchers at all levels to reflect on the research practices and tools we have developed and implemented, and to share what they have learned about participant recruitment, study design, and data analysis, over the last two years.

This workshop took place on June 22, 2022. Below, you will find the archived list of presentations and links to the abstracts. Please contact the presenters for information about their talks. For information about the general discussion period or for further information, please contact the workshop organizers, Nick Henry (nhenry@austin.utexas.edu ) or Carrie Jackson (cnj1@psu.edu).

NameAffiliationTitle of Talk
Valerie KeppennePenn State UniversityWhat motivates or incentivizes participation in research studies?
Liane SheUniversity of North Carolina at CharlotteRecruiting Language Faculty with Experience in Teaching Visually Impaired Students Online
Gregory Costanzo
Penn State UniversityL2 Listeners’ comprehension of accented speech: Using Prolific to successfully recruit bilingual participants
Nick HenryThe University of Texas at AustinUsing Qualtrics and QR codes to enhance in-person and online recruiting
Carrie JacksonPenn State UniversityLeveraging Colleagues for Multi-site Online Studies
Vika TkacikovaUniversity of PittsburghWhat makes a language training study successful? Listening to your community
Sarah BellavanceNew York UniversityRemote recording of conversational data: A guide for participants
Valerie KeppennePenn State UniversityVisualizing and modeling data from studies with low participant numbers

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