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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.
Integrity tests in the past used self-report paper and pencil formats. Modern tests include at least 1 measurement of psychophysiological parameter like voice analysis, to ensure higher reliability. Integrity tests are designed to assess honesty, dependability, trustworthiness, conscientiousness, and reliability. [3]
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.
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 ...
Honesty or truthfulness is a facet of moral character that connotes positive and virtuous attributes such as integrity, truthfulness, straightforwardness (including straightforwardness of conduct: earnestness), along with the absence of lying, cheating, theft, etc. Honesty also involves being trustworthy, loyal, fair, and sincere.
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.
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]