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In a scientific study, post hoc analysis (from Latin post hoc, "after this") consists of statistical analyses that were specified after the data were seen. They are usually used to uncover specific differences between three or more group means when an analysis of variance (ANOVA) test is significant.
14 Ιαν 2019 · Learn how to use post hoc tests to explore differences between multiple group means after a statistically significant ANOVA result. Compare the benefits and drawbacks of three post hoc tests: Tukey, Dunnett, and Games-Howell.
28 Ιουλ 2022 · Learn what post hoc analysis is, how it works, and what are the common types of post hoc tests. Find out how to use visuals to communicate complex concepts and data with Mind the Graph.
22 Νοε 2023 · A post hoc analysis is an unplanned analysis. For example, after the study is completed and the data are examined, something interesting or unexpected in the data may catch the eye; the investigator may then conduct an analysis that was not previously planned in order to pursue the new lead.
16 Φεβ 2016 · Post-hoc analyses are additional analyses conducted after a study is completed, using data that has already been collected. They are not pre-planned and are not part of the primary objectives of the study. Learn more about post-hoc analyses and see examples of how they are used in research.
14 Απρ 2019 · Learn how to use post hoc tests to compare multiple group means after an ANOVA. See examples of Tukey's Test, Holm's Method, and Dunnett's Correction in R.
8 Ιαν 2024 · A post hoc test is used only after we find a statistically significant result and need to determine where our differences truly came from. The term “post hoc” comes from the Latin for “after the event”.
