Conducting Survey Research Using MTurk

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Author(s): Silvana Chambers (The University of Texas at Tyler, USA)and Kim Nimon (The University of Texas at Tyler, USA)
Copyright: 2019
Pages: 30
Source title: Crowdsourcing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-8362-2.ch022

Keywords: Business Science Reference / Government & Law / Human Aspects of Business / Public & Sector Management

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Abstract

This chapter presents an introduction to crowdsourcing for survey participant recruitment. It also discusses best practices and ethical considerations for conducting survey research using Amazon Mechanical Turk (MTurk). Readers will learn the benefits, limitations, and trade-offs of using MTurk as compared to other recruitment services, including SurveyMonkey and Qualtrics. A synthesis of survey design guidelines along with a sample survey are presented to help researchers collect the best quality data. Techniques, including SPSS and R syntax, are provided that demonstrate how users can clean resulting data and identify valid responses for which workers could be paid. An overview and syntax for conducting longitudinal studies is provided as well.

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