Research on sexual assault often relies on self-report data due to the underreporting of incidents to law enforcement and the limited scope of official report data to prevalence. Self-reports enable the study of many aspects of sexual assault, such as attitudes toward victims and offenders, proclivity to commit sexual assault, and correlates of perpetration. When using self-report data to study sexual assault, however, researchers ask participants to reveal private and potentially embarrassing or shameful information, which they may hesitate to report honestly. Researchers generally provide little or no incentive for honesty, assuming, often implicitly, that subjects provide accurate information. Bayesian Truth Serum (BTS), a scoring method designed to encourage honesty and thoughtfulness, was used to assess reported attitudes toward victims and offenders, proclivity to commit sexual assault, and correlates of perpetration. No significant differences emerged between control and BTS conditions for any outcomes. Possible explanations of these results include: 1) participants did not read or fully understand the survey instructions, 2) BTS is ineffective for extremely socially stigmatized topics likesexual assault, or 3) current attitudes and proclivity in the wake of the #MeToo movement reduce the need for dishonesty on such surveys.