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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;
Research integrity became a major debated topic in biological sciences after 1970, due to a combination of factors: the development of advanced data analysis methods, the growing commercial relevancy of fundamental research, [7] and the increased focus of federal funding agencies in the context of big science. [8]
Falsification is manipulating research materials, equipment, or processes or changing or omitting data or results such that the research is not accurately represented in the research record. Plagiarism is the appropriation of another person's ideas, processes, results, or words without giving appropriate credit.
However, the studentized range distribution used to determine the level of significance of the differences considered in Tukey's test has vastly broader application: It is useful for researchers who have searched their collected data for remarkable differences between groups, but then cannot validly determine how significant their discovered ...
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.
Data Colada is also recognized for helping to establish better research practices, such as the sharing of replication data. [ 3 ] The Nobel-prize winning psychologist Daniel Kahneman described Data Colada in 2023 as "heroes of mine" and expressed his regret about previously endorsing research findings that the blog later showed were faulty. [ 2 ]
Academic integrity supports the enactment of educational values through behaviours such as the avoidance of cheating, plagiarism, and contract cheating, [12] [11] [10] as well as the maintenance of academic standards; honesty and rigor in research and academic publishing. [16]
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.