Work

Can you trust your participants? How not to get scammed when recruiting online

Year: 2025

Type: article

Abstract: Kim and Chen’s (2025) compelling framework of value, trust, and agency advocates for more inclusive online data collection practices in applied linguistics. In our response to Kim and Chen’s (2025) commentary, we seek to build on the proposed list of suggestions for enhancing a sense of trust. To do so, we reflect on four case studies that come from our own work and share lessons learned from our own online data collection experiences. Ultimately, we aim to expand the framework of research inclusivity by demonstrating that trust between researchers and participants is inherently reciprocal.

Source: Research Methods in Applied Linguistics

DOI: 10.1016/j.rmal.2025.100285

Authors: Ekaterina Sudina, Ruirui Jia, Eunsoo Kang, Luke Plonsky, Katherine Yaw

Institutions: University of Maryland, College Park, Northern Arizona University, University of South Florida

Language: English

Topic: Survey Methodology and Nonresponse

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $2,000

OpenAlex ID: W4416447547

FWCI: 1.844

Cites: 7

Cited by: 1

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