Contributions of causal reasoning to early scientific literacy

J Exp Child Psychol. 2022 Dec:224:105509. doi: 10.1016/j.jecp.2022.105509. Epub 2022 Jul 16.

Abstract

Although early causal reasoning has been studied extensively, inconsistency in the tasks used to assess it has clouded our understanding of its structure, development, and relevance to broader developmental outcomes. The current research attempted to bring clarity to these questions by exploring patterns of performance across several commonly used measures of causal reasoning, and their relation to scientific literacy, in a sample of 3- to 5-year-old children from diverse backgrounds (N = 153). A longitudinal confirmatory factor analysis revealed that some measures of causal reasoning (counterfactual reasoning, causal learning, and causal inference), but not all of them (tracking cause-effect associations and resolving confounded evidence), assess a unidimensional factor and that this resulting factor was relatively stable across time. A cross-lagged panel model analysis revealed associations between causal reasoning and scientific literacy across each age tested. Causal reasoning and scientific literacy related to each other concurrently, and each predicted the other in subsequent years. These relations could not be accounted for by children's broader cognitive skills. Implications for early STEM (science, technology, engineering, and math) engagement and success are discussed.

Keywords: Causal reasoning; Cognitive development; Confirmatory factor analysis; Cross-lagged panel model; Preschool children; Scientific literacy.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Causality
  • Child, Preschool
  • Humans
  • Learning
  • Literacy*
  • Problem Solving*