2020
DOI: 10.31234/osf.io/tqg2e
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Conditionals on crutches: Expanding the modal horizon

Abstract: Using truth-value judgment tasks, we investigated the on-line processing of counterfactual conditionals such as "If kangaroos had no tails, they would topple over". Face-value plausibility of the counterfactual as well as the complexity of the antecedent were manipulated. Results show that readers' judgments deviate from face-value plausibility more often when the antecedent is complex, and when the counterfactual is plausible rather than implausible. We interpret our results based on the modal horizon assumpt… Show more

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Cited by 2 publications
(2 citation statements)
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“…This amounts to the assumption that the respective accumulator is "passive" in the sense that it is unaffected by the properties of the sentence, and that the associated response is only produced differentially across conditions as a consequence of the other accumulators being affected by the manipulations. The response associated with the unaffected accumulator can thus be seen as a default response in the simplified model (Paape and Zimmermann, 2020;Nicenboim and Vasishth, 2018). Question 2 can be approached in a similar way, namely by removing all slope parameters related to the individual differences measures from the model.…”
Section: Model Comparisons Via Cross-validationmentioning
confidence: 99%
See 1 more Smart Citation
“…This amounts to the assumption that the respective accumulator is "passive" in the sense that it is unaffected by the properties of the sentence, and that the associated response is only produced differentially across conditions as a consequence of the other accumulators being affected by the manipulations. The response associated with the unaffected accumulator can thus be seen as a default response in the simplified model (Paape and Zimmermann, 2020;Nicenboim and Vasishth, 2018). Question 2 can be approached in a similar way, namely by removing all slope parameters related to the individual differences measures from the model.…”
Section: Model Comparisons Via Cross-validationmentioning
confidence: 99%
“…For previous applications of race models to sentence processing, see e.g Nicenboim and Vasishth (2018),Paape and Zimmermann (2020),Lissón et al (2021),Logačev and Vasishth (2016)…”
mentioning
confidence: 99%