Development and validation of a method for deriving MMPI-3 scores from MMPI-2/MMPI-2-RF item responses.

The Minnesota Multiphasic Personality Inventory-3 (MMPI-3; Ben-Porath & Tellegen, 2020a) was developed to expand the content coverage of the MMPI-2-Restructured Form (MMPI-2-RF; Ben-Porath & Tellegen, 2008/2011) and to update the test's norms to better represent the U.S. population.

Further mapping of the MMPI-3 onto HiTOP in a primary medical care and a college student sample.

The Hierarchical Taxonomy of Psychopathology (HiTOP; Kotov et al., 2017, 2021) is offered as a dimensional alternative to traditional categorical diagnostic nosologies such as the ). HiTOP researchers have recently published an open-source assessment system for clinical implementation, the HiTOP Digital Assessment and Tracker (Jonas et al.

How local partisan context conditions prosocial behaviors: Mask wearing during COVID-19.

Does local partisan context influence the adoption of prosocial behavior? Using a nationwide survey of 60,000 adults and geographic data on over 180 million registered voters, we investigate whether neighborhood partisan composition affects a publicly observable and politicized behavior: wearing a mask. We find that Republicans are less likely to wear masks in public as the share of Republicans in their zip codes increases. Democratic mask wearing, however, is unaffected by local partisan context.

Childhood cross-ethnic exposure predicts political behavior seven decades later: Evidence from linked administrative data.

Does contact across social groups influence sociopolitical behavior? This question is among the most studied in the social sciences with deep implications for the harmony of diverse societies. Yet, despite a voluminous body of scholarship, evidence around this question is limited to cross-sectional surveys that only measure short-term consequences of contact or to panel surveys with small samples covering short time periods. Using advances in machine learning that enable large-scale linkages across datasets, we examine the long-term determinants of sociopolitical behavior through an unprecedented individual-level analysis linking contemporary political records to the 1940 U.

The measurement of partisan sorting for 180 million voters.

Segregation across social groups is an enduring feature of nearly all human societies and is associated with numerous social maladies. In many countries, reports of growing geographic political polarization raise concerns about the stability of democratic governance. Here, using advances in spatial data computation, we measure individual partisan segregation by calculating the local residential segregation of every registered voter in the United States, creating a spatially weighted measure for more than 180 million individuals.