Precursors of young adults' world beliefs across cultures: A machine learning approach.

ABSTRACT: Primal world beliefs ("primals") capture individuals' basic understanding of what sort of world this is and are strongly associated with a wide range of behaviors and outcomes, yet we have little understanding of how primals come to be. This study used a data-driven machine learning approach to examine what individual, parenting, family, and cultural factors in childhood best predict young adults' beliefs that the world is Abundant, Alive, Enticing, Good, Hierarchical, Progressing, and Safe, contributing a long-term longitudinal perspective to the nascent work in developmental science on primal world beliefs ("primals"). Participants included 770 young adults from eight countries (Colombia, Italy, Jordan, Kenya, Philippines, Sweden, Thailand, United States). Dur

SUBMITTER: Lansford JE 

PROVIDER: S-EPMC12422284 | biostudies-literature | 2025 Sep-Oct

REPOSITORIES: biostudies-literature