Using Amazon Mechanical Turk to recruit participants with disabilities / Emily M. Lund, Michael R. Nadorff, Kate Galbraith, Katie B. Thomas.

Format:

• Book

Author/Creator:

• Lund, Emily M., author.
• Nadorff, Michael R., author.
• Galbraith, Kate, active 2018, author.
• Thomas, Katie (Katie Beth), 1987- author.

Series:

• SAGE Research Methods. Cases.
• SAGE Research Methods. Cases

Language:

English

Subjects (All):

• Amazon Mechanical Turk.
• People with disabilities--Recruiting--Case studies.

Physical Description:

1 online resource.

Place of Publication:

London : SAGE Publications Ltd, 2018.

Summary:

Amazon Mechanical Turk is an increasingly popular, cost-effective, and quick way to recruit participants. In general, researchers have found samples recruited from Amazon Mechanical Turk to produce reliable, valid data and to be fairly diverse and representative. However, little is known about the prevalence of disability in Amazon Mechanical Turk samples. This case study reviews the mechanics of Amazon Mechanical Turk, previous research on Amazon Mechanical Turk samples, and discusses the results of a study that included an item regarding disability identity. In this study, we found that our sample reported rates of disability roughly similar to that seen in the general population and that physical, chronic health, and psychiatric disabilities were the most commonly reported conditions.

Notes:

• Includes bibliographical references and index.
• Description based on XML content.

ISBN:

1-5264-3728-7

OCLC:

1023831255