Tests how well two models of text comprehension (one referential and one causal) predicted the importance ratings and the recall of procedural texts. Finds better predictive power of the causal model for importance ratings; neither model performed well with recall; and neither model was as predictive of procedural text as they were in previous…

Investigates how adult readers represent causal relations among events in a narrative, specifically by testing two models of text comprehension, the linear chain of text model versus the network model. Provides support for a network model of the representation of causal relations in narratives. (HB)