Falsification
Falsification is manipulating research materials, equipment, or processes, or changing or omitting/suppressing data or results without scientific or statistical justification, such that the research is not accurately represented in the research record. This would include the "misrepresentation of uncertainty" during statistical analysis of the data.
Examples of Falsification1
- Alteration of data to render a modification of the variances in the data
- Falsification of dates and experimental procedures in the study notebook
- Misrepresenting the results from statistical analysis
- Misrepresenting the methods of an experiment such as the model used to conduct the experiment
- The addition of false or misleading statements in the manuscript or published paper.
- Falsification of research accomplishments by publishing the same research results in multiple papers (self plagiarism)
- Misrepresentation of the materials or methods of a research study in a published paper
- Providing false statements about the extent of a research study
- Falsification of telephone call attempts to collect data for a survey study