When a researcher makes incorrect conclusions about their research, the validity types that are threatened typically include:
C. Statistical conclusion validity - This is threatened when the statistical analyses lead to incorrect conclusions about the relationships or effects being studied, such as false positives (Type I errors) or false negatives (Type II errors).
Additionally, while making incorrect conclusions could potentially impact other types of validity (like internal and external validity), statistical conclusion validity is the most directly affected by mistakes in analysis or interpretation of statistical results.
Internal validity, external validity, and construct validity can also be concerned depending on the specific types of incorrect conclusions being drawn, but the question specifically asks about conclusions, which aligns most directly with statistical conclusion validity.
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