post hoc (Meaning)
Wordnet
post hoc (n)
the logical fallacy of believing that temporal succession implies a causal relation
Synonyms & Antonyms of post hoc
No Synonyms and anytonyms found
post hoc Sentence Examples
- The post hoc analysis revealed a significant correlation between the treatment and the outcome variable that was not apparent in the initial analysis.
- Researchers used a post hoc test to determine which specific groups differed significantly from each other.
- The post hoc findings suggested that the observed differences between the treatment and control groups were not due to chance.
- Critically evaluating post hoc comparisons is crucial to avoid false positives and spurious conclusions.
- The post hoc analysis provided valuable insights into the underlying mechanisms responsible for the experimental results.
- Researchers conducted a post hoc power analysis to ensure that their sample size was adequate to detect the post hoc effects.
- The research team determined that the post hoc findings did not warrant substantial changes to the original hypothesis.
- The post hoc results contradicted the original hypothesis, leading to a reevaluation of the theoretical framework.
- The post hoc analysis helped researchers identify potential confounding variables that may have influenced the experimental outcomes.
- Post hoc tests can be useful in exploratory data analysis but should be interpreted with caution and in conjunction with the primary analysis.
FAQs About the word post hoc
the logical fallacy of believing that temporal succession implies a causal relation
No synonyms found.
No antonyms found.
The post hoc analysis revealed a significant correlation between the treatment and the outcome variable that was not apparent in the initial analysis.
Researchers used a post hoc test to determine which specific groups differed significantly from each other.
The post hoc findings suggested that the observed differences between the treatment and control groups were not due to chance.
Critically evaluating post hoc comparisons is crucial to avoid false positives and spurious conclusions.
