The Open Anchoring Quest Dataset: Anchored Estimates from 96 Studies on Anchoring Effects

People’s estimates are biased toward previously considered numbers (anchoring). We have aggregated all available data from anchoring studies that included at least two anchors into one large dataset. Data were standardized to comprise one estimate per row, coded according to a wide range of variables, and are available for download and analyses online (https://metaanalyses.shinyapps.io/OpAQ/). Because the dataset includes both original and meta-data it allows for fine-grained analyses (e.g., correlations of estimates for different tasks) but also for meta-analyses (e.g., effect sizes for anchoring effects)

Validating self-reported compliance with COVID-19 regulations:Demonstrating group-level sociodemographic self-reported compliance that mirrors actual morbidity rates

Using a novel approach, in this work, we establish an association between self-reported compliance with COVID-19 preventive behaviors and fear of the virus with morbidity rates (i.e., actual tests and their outcome). In two nationally representative samples that were collected in Israel during the first (April 2020: N = 507) and second (August 2020: N = 515) waves of the COVID-19 pandemic, participants responded to items assessing their compliance with the COVID-19 preventive behaviors and their fear of contracting the virus. Participants' compliance and fear self-reports served as a proxy for morbidity rates. Specifically, we assessed the association between sociodemographic variables (gender, age, or belonging to a minority group), self-reports, and morbidity rates (as reported in publicly open databases of the Israeli health ministry). We found that self-reports of compliance and fear were mirrored and aligned with actual morbidity rates across sociodemographic variables and studies. By establishing a clear connection between specific behavior (i.e., compliance with covid regulations) and emotion (i.e., fear of getting infected by the virus), self-reports and sociodemographic variables represent a real related phenomena (i.e., covid 19 morbidity rates), our findings overall validate numerous studies that used self-reports to assess compliance with COVID-19 preventive behaviors