Attention by design: Using attention checks to detect inattentive respondents and improve data quality

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Controlling social desirability bias (2018, background): “An attention check was included to improve response quality (Abbey & Meloy, 2017).”
On making experimental design choices: Discussions on the use and challenges of demand effects, incentives, deception, samples, and vignettes (2020, result): “While some studies have reported increased attentiveness of MTurk samples as compared to student samples (Klein et al., 2014; Hauser & Schwarz, 2016), the use of attention checks with any sample is an important experimental protocol (Abbey & Meloy, 2017; Kane & Barabas, 2019).”
On doing relevant and rigorous experiments: Review and recommendations (2018, background): “For sake of transparency, scholars should also report all the manipulation checks they conducted in an experiment, and thus disclose all possible sources of demands in their study (Abbey & Meloy, 2017).”