Four Replication Experiments of Kidd and Castano (2013)

DOI

The data is from the published article: Samur, D., Tops, M., & Koole, S. L. (2017). Does a single session of reading literary fiction prime enhanced mentalising performance? Four replication experiments of Kidd and Castano (2013). Cognition and Emotion, 1-15.Abstract: Prior experiments indicated that reading literary fiction improves mentalising performance relative to reading popular fiction, non-fiction, or not reading. However, the experiments had relatively small sample sizes and hence low statistical power. To address this limitation, the present authors conducted four high-powered replication experiments (combined N = 1006) testing the causal impact of reading literary fiction on mentalising. Relative to the original research, the present experiments used the same literary texts in the reading manipulation; the same mentalising task; and the same kind of participant samples. Moreover, one experiment was pre-registered as a direct replication. In none of the experiments did reading literary fiction have any effect on mentalising relative to control conditions. The results replicate earlier findings that familiarity with fiction is positively correlated with mentalising. Taken together, the present findings call into question whether a single session of reading fiction leads to immediate improvements in mentalising.

The depositor provided the data files in SAV format. DANS added the POR and DTA formats of these files, in the folder 'DANS formats'.

Identifier
DOI https://doi.org/10.17026/dans-zx6-h97m
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zx6-h97m
Provenance
Creator D. Samur
Publisher DANS Data Station Social Sciences and Humanities
Contributor Dalya Samur; S.L. Koole (VU University Amsterdam); M. Tops (VU University Amsterdam)
Publication Year 2017
Funding Reference NWO 406-14-097
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Dalya Samur (Vrije Universiteit Amsterdam)
Representation
Resource Type Dataset
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Version 2.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences