Dataset to: Scientific abstracts and plain language summaries in psychology: A comparison based on readability indices.

DOI

Findings from psychological research are usually difficult to interpret for non-experts. Yet, non-experts resort to psychological findings to inform their decisions (e.g., whether to seek a psychotherapeutic treatment or not). Thus, the communication of psychological research to non-expert audiences has received increasing attention over the last years. Plain language summaries (PLS) are abstracts of peer-reviewed journal articles that aim to explain the rationale, methods, findings, and interpretation of a scientific study to non-expert audiences using non-technical language. Unlike media articles or other forms of accessible research summaries, PLS are usually written by the authors of the respective journal article, ensuring that research content is accurately reproduced. In this study, we compared the readability of PLS and corresponding scientific abstracts in a sample of 103 journal articles from two psychological peer-reviewed journals. To assess readability, we calculated four readability indices that quantify text characteristics related to reading comprehension (e.g., word difficulty, sentence length). Analyses of variance revealed that PLS were easier to read than scientific abstracts. This effect emerged in both included journals and across all readability indices. There was only little evidence that this effect differed in magnitude between the included journals. In sum, this study shows that PLS may be an effective instrument for communicating psychological research to non-expert audiences. We discuss future research avenues to increase the quality of PLS and strengthen their role in science communication.

Dataset for: Stricker J, Chasiotis A, Kerwer M, Günther A (2020) Scientific abstracts and plain language summaries in psychology: A comparison based on readability indices. PLoS ONE 15(4): e0231160. https://doi.org/10.1371/journal.pone.0231160

export_abstracts: PLS and scientific abstracts

Identifier
DOI https://doi.org/10.23668/psycharchives.2768
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.2768
Provenance
Creator Stricker, Johannes; Chasiotis, Anita; Kerwer, Martin; Günther, Armin
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID)
Publication Year 2020
Rights CC-BY-SA 4.0; openAccess; Creative Commons Attribution Share Alike 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences