Spin : Psychological Scientists Use Casual Language to Describe Non-Casual Data
Abstract
Misrepresentation 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.
Subject
Posters
Psychology
Causal language
Data misrepresentation
Spin
Causal claims
Permanent Link
http://digital.library.wisc.edu/1793/80089Type
Presentation
Description
Color poster with text, table, and images.