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Intellectual honesty is an applied method of problem solving characterised by a nonpartisan and honest attitude, which can be demonstrated in a number of different ways: One's personal beliefs or politics do not interfere with the pursuit of truth;
Authors are also commonly required to provide information about ethical aspects of research, particularly where research involves human or animal participants or use of biological material. Provision of incorrect information to journals may be regarded as misconduct. Financial pressures on universities have encouraged this type of misconduct.
The concepts of research integrity and its reverse, scientific misconduct were especially relevant from the perspective funding bodies, since it made it possible to "delineate the research-related practices that merit intervention": [16] lack of integrity led not only to unethical but inefficient research and funds have better to be allocated ...
Research integrity or scientific integrity is an aspect of research ethics that deals with best practice or rules of professional practice of scientists.. First introduced in the 19th century by Charles Babbage, the concept of research integrity came to the fore in the late 1970s.
Postqualitative inquiry is a research philosophy proposed by University of Georgia Professor of Education Elizabeth St. Pierre [1] in 2011 that advocates for an intentional deconstructive stance toward concepts within traditional research methods on human subjects, such as interviews, data analysis, and validity. [2]
Brian Wansink (US), former John S. Dyson Endowed Chair in the Applied Economics and Management Department at Cornell University, was found in 2018 by a University investigatory committee to have "committed academic misconduct in his research and scholarship, including misreporting of research data, problematic statistical techniques, failure to ...
In scientific inquiry and academic research, data fabrication is the intentional misrepresentation of research results. As with other forms of scientific misconduct, it is the intent to deceive that marks fabrication as unethical, and thus different from scientists deceiving themselves. There are many ways data can be fabricated.
As the importance of original research grew among faculty members the questioning of research integrity grew as well. With pressure linked to their professional status professor were under intense scrutiny by the surrounding society. This inevitably led to the separating academic integrity ideals for student and faculty. [15]