<div>This study investigated the development of young children’s causal inference by studying variability in behavior. Two possible sources of variability, strategy use and accuracy in strategy execution, were discriminated and related to age. To this end, a relatively wide range of causal inference trials was administered to children of a relatively broad age range: 2- to 5-year-olds. Subsequently, individuals’ response patterns over trials were analyzed with a latent variable technique [e.g. 1]. The results showed that variability in children’s behavior could largely be explained by strategy use: three different strategies were distinguished, and these were found to be related to age. Importantly, this age-related strategy use better expl...
Previous work has demonstrated the importance of both naïve theories and statistical evidence to chi...
This series of studies examines the relationship between causal inference and attribution from a dev...
Insights into the approaches of young children when making informal inferences about dataThere is gr...
This study investigated the development of young children’s causal inference by studying variability...
This study investigated the development of young children's causal inference by studying variability...
In previous studies, causal contingencies have been suggested to play an important role in causality...
AbstractChildren between 5 and 8years of age freely intervened on a three-variable causal system, wi...
Learning to generalize from instances is an important part of the development of inductive reasoning...
Three studies investigated whether young children make accurate causal inferences on the basis of pa...
Previous research has suggested that preschoolers possess a cognitive system that allows them to con...
From early on in life, children are able to use information from their environment to form predictio...
Children aged between 5 and 8 years freely intervened on a three-variable causal system, with their ...
Contains fulltext : 203654.pdf (publisher's version ) (Open Access)From early on i...
We examine the interaction of two cues that children use to make judgments about cause-effect relati...
This research explores the hypothesis revision strategies of adults and children, and develops two c...
Previous work has demonstrated the importance of both naïve theories and statistical evidence to chi...
This series of studies examines the relationship between causal inference and attribution from a dev...
Insights into the approaches of young children when making informal inferences about dataThere is gr...
This study investigated the development of young children’s causal inference by studying variability...
This study investigated the development of young children's causal inference by studying variability...
In previous studies, causal contingencies have been suggested to play an important role in causality...
AbstractChildren between 5 and 8years of age freely intervened on a three-variable causal system, wi...
Learning to generalize from instances is an important part of the development of inductive reasoning...
Three studies investigated whether young children make accurate causal inferences on the basis of pa...
Previous research has suggested that preschoolers possess a cognitive system that allows them to con...
From early on in life, children are able to use information from their environment to form predictio...
Children aged between 5 and 8 years freely intervened on a three-variable causal system, with their ...
Contains fulltext : 203654.pdf (publisher's version ) (Open Access)From early on i...
We examine the interaction of two cues that children use to make judgments about cause-effect relati...
This research explores the hypothesis revision strategies of adults and children, and develops two c...
Previous work has demonstrated the importance of both naïve theories and statistical evidence to chi...
This series of studies examines the relationship between causal inference and attribution from a dev...
Insights into the approaches of young children when making informal inferences about dataThere is gr...