5 years ago

Decomposing the Cross-Sex Misprediction Bias of Dating Behaviors: Do Men Overestimate or Women Underreport Their Sexual Intentions?

Raghubir P, Engeler I
Men typically predict women's sexual intentions to be higher than women say they are (Haselton & Buss, 2000). It is debated whether this cross-sex bias is because of men overestimating women's intentions (Murray et al., 2017), women underreporting their own intentions (Perilloux & Kurzban, 2015, 2017), or both. To unify the current debate, we decompose the part of the bias attributable to women underreporting versus men overestimating by using a survey method intervention to reduce underreporting of sensitive information: eliciting estimates about others before sensitive self-reports. First, we calibrate the current measurement instrument to assess the overall size of the misprediction bias (Study 1). Then, we manipulate the order-of-elicitation of self- and other-reports (Studies 2 and 3): Women report significantly higher own sexual intentions when they are asked about other targets' intentions before their own, suggesting that 48 to 69% of the overestimation bias is attributable to women underreporting their own sexual intentions. Analogous analyses for the misprediction bias about men suggest that women's overestimation bias of men's sexual intentions is entirely because of men underreporting their own sexual intentions. The findings have important implications for the current debate in the literature on cross-sex misprediction biases and the literature on asking sensitive survey questions. (PsycINFO Database Record

Publisher URL: https://www.ncbi.nlm.nih.gov/pubmed/28703603

DOI: PubMed:28703603

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.