Getting a picture that is both accurate and stable: Situation models and epistemic validation

S Schroeder, T Richter, Inga Hoever

Research output: Contribution to journalArticleAcademicpeer-review

78 Citations (Scopus)


Text comprehension entails the construction of a situation model that prepares individuals for situated action. In order to meet this function, situation model representations are required to be both accurate and stable. We propose a framework according to which comprehenders rely on epistemic validation to prevent inaccurate information from entering the situation model. Once information has been integrated in the current situation model, it serves as part of the epistemic background for validating new information, leading to a stable representation. We present evidence for this view from an experiment in which participants responded to paraphrase and inference items after reading expository texts. Multinomial model analyses of the responses and multilevel analyses of the response latencies revealed that plausible information is more likely to be integrated into the situation model while information that is part of the situation model is more likely to be judged as plausible. This pattern of results suggests a close bi-directional relationship between situation models and epistemic validation.
Original languageEnglish
Pages (from-to)237-255
Number of pages19
JournalJournal of Memory and Language
Issue number3
Publication statusPublished - 2008


Dive into the research topics of 'Getting a picture that is both accurate and stable: Situation models and epistemic validation'. Together they form a unique fingerprint.

Cite this