Does sample source matter for theory? Testing model invariance with the influence of presumed influence model across Amazon Mechanical Turk and Qualtrics Panels

作者：

Highlights：

• Online data collection is common in communication; do different online data sources affect the consistency of theory?

• Data consistency was tested in the context of fake news using the influence of presumed influence model.

• Model fit and statistical significance was compared between data collected from Amazon Mechanical Turk and Qualtrics Panels.

• Theoretical predictions were generally the same between both sources, with neither source exhibiting consistent differences.

• These results suggest that theory from mass communication may be durable across different online convenience samples.

摘要

•Online data collection is common in communication; do different online data sources affect the consistency of theory?•Data consistency was tested in the context of fake news using the influence of presumed influence model.•Model fit and statistical significance was compared between data collected from Amazon Mechanical Turk and Qualtrics Panels.•Theoretical predictions were generally the same between both sources, with neither source exhibiting consistent differences.•These results suggest that theory from mass communication may be durable across different online convenience samples.

论文关键词：Amazon mechanical turk,Model invariance,Presumed influence,Qualtrics,Sampling

论文评审过程：Received 26 August 2021, Revised 22 July 2022, Accepted 25 July 2022, Available online 7 August 2022, Version of Record 15 August 2022.

论文官网地址：https://doi.org/10.1016/j.chb.2022.107416