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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;
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.
Recent research has shown that the honesty-humility factor is strongly negatively correlated with the "dark triad" of personality (i.e. narcissism, psychopathy, and Machiavellianism). [2] These 3 traits in tandem describe a person who is self-centered, manipulative, and un-empathetic, someone willing to use or hurt others for personal gain.
The American Psychological Association (APA) Ethical Principles of Psychologists and Code of Conduct (for short, the Ethics Code, as referred to by the APA) includes an introduction, preamble, a list of five aspirational principles and a list of ten enforceable standards that psychologists use to guide ethical decisions in practice, research, and education.
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 ...
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 ]
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.
[2] [3] [4] However, researcher degrees of freedom can lead to data dredging and other questionable research practices where the different interpretations and analyses are taken for granted [5] [6] Their widespread use represents an inherent methodological limitation in scientific research, and contributes to an inflated rate of false-positive ...