When data is faked or misplaced, the data is invalid.
When data is invalid, it means that it can not be relied on in the research that it was gathered for to provide a proper analysis.
Data becomes invalid if:
- it was faked by the researcher in order to skew the research towards a certain point.
- it was misplaced after it was gathered and so isn't available for analysis
In conclusion, data that is considered invalid should not be used in research because it has the potential to give the wrong result and mess up the conclusion of the research.
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