Logical necessity and transitivity of causal relations in stories

Trabasso, Tom; Broek, Paul van den; Suh, So Young

doi:10.1080/01638538909544717

Cited by 322 publications

(286 citation statements)

References 19 publications

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“…The prior text benchmark contained words from the prior text that were important, either theoretically or empirically, to the current sentence. Theoretically important words were identified via a causal network analysis (CNA; Trabasso, van den Broek, & Suh, 1989). CNA determines causal relationships among sentences (see Trabasso et al, 1989, for a detailed discussion on the criteria for conducting a CNA).…”

Section: Methodsmentioning

confidence: 99%

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Using latent semantic analysis to assess reader strategies

Magliano

Wiemer-Hastings

Millis

et al. 2002

Behavior Research Methods, Instruments, & Computers

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Section: Methodsmentioning

confidence: 99%

“…Theoretically important words were identified via a causal network analysis (CNA; Trabasso, van den Broek, & Suh, 1989). CNA determines causal relationships among sentences (see Trabasso et al, 1989, for a detailed discussion on the criteria for conducting a CNA). CNAs were conducted on the texts by the first author.…”

Section: Methodsmentioning

confidence: 99%

Using latent semantic analysis to assess reader strategies

Magliano

Wiemer-Hastings

Millis

et al. 2002

Behavior Research Methods, Instruments, & Computers

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“…Individual elements vary in their role within this structure, with some having greater structural centrality than others. For example, elements differ in the number of semantic relations that they have to other elements in the representation and, thus, in their centrality to the semantic structure as a whole (Trabasso, van den Broek, & Suh, 1989). As a second example, the specific semantic relations may create a hierarchy between elements or clusters of elements.…”

Section: Mental Representation Of Textmentioning

confidence: 99%

Cognitive Processes in Discourse Comprehension: Passive Processes, Reader-Initiated Processes, and Evolving Mental Representations

Broek

Helder

2017

Discourse Processes

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As readers move through a text, they engage in various types of processes that, if all goes well, result in a mental representation that captures their interpretation of the text. With each new text segment the reader engages in passive and, at times, reader-initiated processes. These processes are strongly influenced by the readers' representation of the preceding text and, in turn, update this very same representation. This updated representation forms the backdrop for the processing of the next text segment, and so on. Thus, passive and reader-initiated processes and the evolving representation engage in a continual, intricate interaction as the reader moves through the text. We provide a framework for conceptualizing the interplay between these three components of comprehension and propose that (1) passive and reader-initiated processes interact during reading; (2) a reader's standards of coherence moderate what kind and to what extent readerinitiated processes take place; (3) reader-initiated processes lie along a continuum from close-to-the-text, coherence-building processes to farfrom-the-text, interpretive processes; and (4) the moment-to-moment processes and the evolving mental representation interact in a reciprocal fashion. We present results from recent experiments on key aspects of the framework, and identify questions the framework raises. We conclude with implications from this conceptualization for theoretical models of reading comprehension.

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“…In particular, causal antecedents are believed held in short term memory awaiting a link or connection to another concepts which satisfies causal chain properties (Fletcher and Bloom 1988;Trabasso and Sperry, 1985). These causal inferences display four particular properties (Trabasso et al, 1989). The first property is 'temporal priority , in that a cause never happens after the effect.…”

Section: Inference Making During Text Comprehensionmentioning

confidence: 99%