### Keywords ###
#experimentation #onlineresearch #RTCLTV #shorts
### Article Attribution ###
Title: Running experiments on Amazon Mechanical Turk
Authors: Gabriele Paolacci, Jesse Chandler ,and Panagiotis G. Ipeirotis
Publisher: Society for Judgment and Decision Making
DOI: 10.1017/S1930297500002205
DOAJ URL: https://doaj.org/article/41c0bb2a0eae419cae045dcd429e3892
Source URL: https://www.cambridge.org/core/product/identifier/S1930297500002205/type/journal_article
### Image Attribution ###
Background images were sampled from the source article
### Channels ###
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### Video Timestamps ###
0:00:00 - Summary
0:00:34 - Title
0:00:41 - End
despite its popularity among social scientists for experimental data collection concerns about the quality of data from Mechanical Turk subjects recruited from online labor markets May persist to address these doubts new demographic data is presented along with a review of Mechanical Turk strengths and comparisons to other recruitment methods additionally benefits such as longitudinal cross-cultural and pre-screening designs are discussed along with advice on managing subject pools this article
was authored by Gabrielle pxi Jessi Chandler and panus G pyus
Comments
Im NoT iN ScHoOL