Spin : Psychological Scientists Use Casual Language to Describe Non-Casual Data

dc.contributor.authorBleske-Rechek, April L.
dc.contributor.authorGunseor, Michaela M.
dc.date.accessioned2020-05-08T21:40:34Z
dc.date.available2020-05-08T21:40:34Z
dc.date.issued2018-04
dc.descriptionColor poster with text, table, and images.en_US
dc.description.abstractMisrepresentation of data, or “spin,” comes in various forms and can be intentional or unintentional. One of the most prevalent forms of spin involves misleading interpretation – specifically, making causal claims that are not supported by the findings or research design.5 Researchers in the allied health disciplines, education, and counseling have voiced concern about unjustified causal claims and have encouraged researchers to match the language they use in their reports to the specific type of study they have conducted. Here, we investigate the frequency with which scientists in psychology use unwarranted causal language in scholarly descriptions of their work.en_US
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programs.en_US
dc.identifier.urihttp://digital.library.wisc.edu/1793/80089
dc.language.isoen_USen_US
dc.relation.ispartofseriesUSGZE AS589;
dc.subjectPostersen_US
dc.subjectPsychologyen_US
dc.subjectCausal languageen_US
dc.subjectData misrepresentationen_US
dc.subjectSpinen_US
dc.subjectCausal claimsen_US
dc.titleSpin : Psychological Scientists Use Casual Language to Describe Non-Casual Dataen_US
dc.typePresentationen_US

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