Please participate in Part 2
Maximizing response rates in longitudinal MTurk designs
Bibliographic Data
| ID | 7335448 |
|---|---|
| Authors | Elizabeth Stoycheff (0000-0003-4907-170X, Wayne State University, corresponding author) |
| Year | 2016 |
| Volume | 9 |
| Publication date | 2016-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Methodological Innovations (JOURNAL) |
| Journal identifiers | ISSN: 2059-7991 • E-ISSN: 2059-7991 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/2059799116672879 |
| OpenAlex | W2531637731 |
| Language | EN |
| Citations received | 7 |
| References cited | 32 |
The ease and affordability of Amazon’s Mechanical Turk make it ripe for longitudinal, or panel, study designs in social science research. But the discipline has not yet investigated how incentives in this “online marketplace for work” may influence unit non-response over time. This study tests classic economic theory against social exchange theory and finds that despite Mechanical Turk’s transactional nature, expectations of reciprocity and social contracts are important determinants of participating in a study’s Part 2. Implications for future research are discussed
Business · Economics · Incentive · Longitudinal study · Microeconomics · Reciprocity (cultural anthropology · Social exchange theory · Sociology · Transactional leadership · Digital Marketing and Social Media · Experimental Behavioral Economics Studies · Mobile Crowdsensing and Crowdsourcing · Psychology · Social Psychology · Marketing
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| Unique citing works | 7 |
|---|---|
| Citations per year | 0,78 |
| Citation span | 2017 - 2023 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 7 |