We created the GMQ (Gender Mosaic Questionnaire) cross-cultural dataset. The GMQ assesses behavioral and psychological variables that show large sex/gender differences in English-speaking (mainly US) samples. The GMQ cross-cultural dataset includes data of ~37,000 people from 26 countries (~1,500 from each country), that were selected to show maximum variation on many characteristics, such as gender equality, violence, economic conditions (
https://osf.io/pqsng(odnośnik otworzy się w nowym oknie)). The GMQ cross-cultural dataset is and will be used to map variability in domains assumed to be homogenous; study the latent structure of gender and how it varies across cultures; test specific predictions regarding the gender mosaic; and test specific theories and observations regarding gender differences (Aim 1).
Aim 2: Testing whether the gender mosaic framework can disrupt the gender-binary cycle. We conducted interviews with individuals who filled-out the GMQ and viewed their gender mosaic on the gender mosaic website (
https://gendermosaic.tau.ac.il/(odnośnik otworzy się w nowym oknie)) to learn about their experience. In parallel, we are developing behavioral measures of gender-biased behavior.
Using BEADS (Behaviors, Emotions, and Attitudes towards the Development of Sex characteristics) – a retrospective questionnaire we designed to assess attitudes towards the sexed body, gender identity, gender performance, and sexuality – we created a second dataset of ~2,000 people from Israel. This dataset is being used to study diversity in different aspects of gender and the relations between these aspects in different gender groups (Aim 3).
Using a very large sample (~50,000) from Project Implicit, we validated indirect measures of gender identity and sexual attraction (Keinan-Bar, Joel, Bar-Anan, 2024. A Comparative Investigation of Indirect Measures of Sexual Attraction. Collabra: Psychology). We are now studying the relations between these two constructs (Aim 4).