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This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.

We integrate life history (LH) theory with “hot/cool” systems theory of self-regulation to predict sexually and socially coercive behaviors, including intimate partner violence (IPV) and interpersonal aggression (IPA). LH theory predicts that a variety of traits form LH strategies: adaptively coordinated behavioral clusters arrayed on a continuum from slow to fast. We test structural models examining 2 propositions: (a) “hot” cognitive processes, promoted by faster LH strategies, increase the likelihood of sexually/socially coercive behaviors that make up IPV and IPA; (b) “cool” cognitive processes, promoted by slower LH strategies, buffer against the likelihood of sexually/socially coercive behaviors that make up IPV and IPA. We present single and multisample structural equations models (SEMs and MSEMs) testing hypothesized causal relations among these theoretically specified predictors with IPV and IPA. Study 1 develops a Structural Equation Model for IPV; Study 2 extends the model to IPA using MSEM and provides 5 cross-cultural constructive replications of the findings. Integrating LH theory and hot/cool systems analysis of cognitive processes is a promising and productive heuristic for future research on IPV and IPA perpetration and victimization.

Two studies (Ns = 80 and 108) tested hypotheses derived from Kirkpatrick and Ellis's (2001) extension and application of sociometer theory to mating aspirations. Experiences of social rejection-acceptance by attractive opposite-sex confederates were experimentally manipulated, and the impact of these manipulations on self-esteem, mating aspirations, and friendship aspirations was assessed. Results indicated that social rejection-acceptance by members of the opposite sex altered mating aspirations; that the causal link between social rejection-acceptance and mating aspirations was mediated by changes in state self-esteem; and that the impact of social rejection-acceptance by members of opposite sex was specific to mating aspirations and did not generalize to levels of aspiration in approaching potential same-sex friendships. This research supports a conceptualization of a domain-specific mating sociometer, which functions to calibrate mating aspirations in response to experiences of romantic rejection and acceptance.