falsifying data in order to make the findings consistent with predetermined points of view would demonstrate: lack of the use of data falsification detection software. lack of research integrity. lack of proper study supervision. lack of proper study design.

Respuesta :

Falsifying data in order to make the findings consistent with predetermined points of view would demonstrate a lack of proper study supervision.

What does research falsification mean?

Falsification, in this context, is defined as "manipulating research materials, equipment, or methods, or changing or omitting data or outcomes such that the research is not accurately represented in the research record." Falsification, by this definition, can take place before, during, or after data gathering.

What risks do data analyses in research pose?

It might be extremely dangerous to work very hard to get the "ideal" findings from data analysis. Three categories of research misconduct are outlined by the federal Office of Research Integrity: fabrication, falsification, and plagiarism (Office of Research Integrity, 2017).

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