Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments

作者：

Highlights：

• Online participant recruitment has led to persistent concerns about data quality.

• Online participants are just as attentive as participants recruited offline.

• Online participants buy into experimental social interactions as much as in the lab.

• Rigorous exclusion methods can be used to improve data quality online and offline.

摘要

•Online participant recruitment has led to persistent concerns about data quality.•Online participants are just as attentive as participants recruited offline.•Online participants buy into experimental social interactions as much as in the lab.•Rigorous exclusion methods can be used to improve data quality online and offline.

论文关键词：Mechanical Turk,Exclusion,Attention,Manipulation check,IMC

论文评审过程：Received 5 February 2016, Revised 12 August 2017, Accepted 26 August 2017, Available online 28 August 2017, Version of Record 6 September 2017.

论文官网地址：https://doi.org/10.1016/j.chb.2017.08.038