When a researcher makes incorrect conclusions about their research, several types of validity can be threatened. However, the primary validity type that directly relates to drawing incorrect conclusions is:
D. Statistical conclusion validity
Statistical conclusion validity refers to the extent to which the conclusions drawn about the relationship between variables based on statistical analysis are correct. If the researcher makes mistakes in analyzing the data or misinterprets the statistical results, this validity is threatened.
Additionally, it's important to note that other types of validity can also be impacted indirectly:
- Construct validity could be threatened if the incorrect conclusions stem from misunderstandings or misrepresentations of the constructs being measured.
- Internal validity might be affected if the conclusions overlook confounding variables or other threats, leading to incorrect inferences about cause and effect.
- External validity can be jeopardized if the erroneous conclusions lead to inappropriate generalizations about the findings.
But the most direct impact on incorrect conclusions pertains to statistical conclusion validity.
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