Paradata can be used to examine respondent behaviors such as speed of survey completion, extent of response differentiation, failure to follow directions, and response inconsistency. Paradata can enable researchers to either alert and re-engage respondents in an effort to counter their reduced attention and increase their response quality or exclude them so they do not count as qualified completes. Using the Advertising Research Foundation’s Foundations of Quality 2 dataset that had over 57,000 respondents from 17 different providers using opt-in panel members, we examined the impact of speed of completion on data quality and other associated sub-optimal respondent behaviors (e.g., response non-differentiation and response inconsistency). Although, we found that speeding was associated with other forms of suboptimal behavior along with demographic factors in predictable ways, those who sped or exhibited other forms of sub-optimal behavior had very little impact on overall results because the number of respondents exhibiting the worst of the behaviors tended to be small.