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The present study investigated misrepresentation on MTurk, with a specific interest in the prevalence of misrepresentation even with recommended best practices for improving data quality in MTurk studies in place. We examined two forms of misrepresentation: claiming false experience with a fictional “bogus” item, and a shift between a prescreen and main study in two indicators (i.e., age and hiring experience). Results indicated that depending on the indicator and the threshold for defining misrepresentation, 2.2% to 28% of participants misrepresented their qualifications, even after utilizing other best practices to ensure data quality. Further, it was demonstrated that those who misrepresented their age were lower in honesty-humility than those who did not misrepresent their age. Further recommendations for researchers are discussed.