Related Experiment Video
Updated: May 19, 2026

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
Published on: April 6, 2018
The codevelopment of children's general causal reasoning and their causal reasoning of illness transmission
Lauren Leotti1, Meghan Callahan1, Nina Fefferman2
1Department of Psychology, Rutgers University-Newark.
Insights
Children
Area of Science:
- Child Development
- Health Psychology
- Cognitive Science
Background:
- Children's understanding of illness transmission is crucial for public health.
- Grasping the invisible nature of germs poses a significant challenge for children's causal reasoning about disease spread.
Purpose of the Study:
- To investigate the developmental trajectory of causal reasoning in children concerning illness transmission.
- To compare children's understanding of contagion-relevant versus contagion-irrelevant causal mechanisms.
Main Methods:
- An online study platform was used to present animated vignettes to 108 North American children aged 4-8.
- Participants viewed scenarios involving varying degrees of exposure, proximity, and germ transfers, alongside control scenarios with visible transmission principles.
Main Results:
- Causal reasoning abilities improved with age in both contagion and control domains.
- Children's causal reasoning about germ transmission significantly lagged behind their reasoning in general causal domains.
Conclusions:
- Difficulties in understanding germ transmission stem from conceptualizing invisible germs, not just general transmission processes.
- Targeted educational interventions focusing on causal mechanisms are essential for improving children's germ and illness transmission understanding.
Abstract:
Identifying how children develop causal understanding of illness transmission is key to fostering effective health behaviors and preventing the spread of contagious diseases. Previous research has shown that children struggle to grasp the invisible nature of germs, complicating their ability to form accurate causal explanations about illness transmission. In light of these challenges, this study examines how causal reasoning develops with age in the context of contagion and contagion-irrelevant domains. Using an online study platform, we presented participants (N = 108, Ages 4-8, North American) with a series of animated vignettes in which four characters were exposed to illness with varying degrees of (a) duration of exposure to a sick individual, (b) proximity to a sick individual, and (c) number of transfers of germs between sick individual and target. In addition, children were presented with three analogous control (contagion-irrelevant) causal reasoning vignettes that mirrored transmission principles of (a) duration, (b) proximity, and (c) number of transfers in nongerm, visible scenarios. Causal reasoning scores increased with age for both contagion-relevant and control vignettes, with contagion causal reasoning lagging behind general causal reasoning ability. The difference between children's performance on control and germ vignettes suggests that the challenges children experience reasoning about germ transmission go beyond understanding transmission processes in general, and may reflect difficulty understanding that germs specifically follow similar mechanisms of transmission. Our results underscore the critical need for targeted educational interventions, especially those focusing on causal mechanisms, to help improve children's reasoning about germs and illness transmission. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
Related Concept Videos
Criteria for Causality: Bradford Hill Criteria - II
Causality in Epidemiology
Criteria for Causality: Bradford Hill Criteria - I
Inductive Reasoning
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Reasoning
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
