事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
Post hoc power analysis: is it an informative and meaningful analysis?
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Sep 2019 – May 2025Where it's discussed
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X / Twitter22 posts
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YouTube22 videos
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News2 articles
AI synopsis
What people are saying
The discussions mostly reflect skepticism toward post hoc power analysis, with phrases like 'conceptually flawed' and 'analytically misleading' emphasizing strong disagreement. Certain posts reference specific statistical methods and formulas, indicating a technical engagement, but overall sentiment highlights critique rather than advocacy or curiosity.
Most discussions strongly criticize the value of post hoc power analysis, labeling it as conceptually flawed and misleading.
The posts show a neutral level of curiosity, with some questioning the relevance and others dismissing the topic as flawed.
Some comments delve into methodological details, such as mentioned formulas and statistical concepts, indicating moderate engagement.
The overwhelming negative stance suggests the discussions may influence opinions against the practice, but overall impact appears limited without broader consensus.
Abstract in brief
- Post hoc power analysis involves evaluating the statistical power of a study after the data has been collected and analyzed, which is often requested by journals for published studies.
- The report examines whether post hoc power analysis provides meaningful and useful information, especially when based on the same data used for the original results, and questions its reliability in this context.
- Monte Carlo simulations are employed in the study to test how well post hoc power analysis performs, helping to determine if it offers accurate insights into a study's ability to detect significant effects.]
Top posts
Most liked on X and BlueskyPost hoc power analysis: is it an informative and meaningful analysis? https://t.co/77PQFrHN0V Why is this even a question? ...it is not only conceptually flawed but also analytically misleading
@IEN_enjoy https://t.co/fCLrXW70YK https://t.co/wSZJElST2h これを契機にまとめてみてもいいのかな?再確認のために
@IvansCat1 @christoph_rothe Deshalb gibt es ja die sog. N(opt.) Formeln (Cohen). Sie geben als Studienleiter eine für Sie wiss. relevante Effektgröße vor, definieren Power und Alpha (bspw. 85% / 5%). Und berechnen daraus N(opt.) für den jeweiligen Test. Stichwort G*Power https://t.co/b6iYc56JUl
Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/PaSZdryrwI
RT @ai_biostat: ③ Zhang Y, et al. Post hoc power analysis: is it an informative and meaningful analysis? Gen Psychiatr. 2019;32(4):e100069.…
All mentions
Understanding G*Power for Sample Size Calculation in Research
Sample Size Calculation in Multiple Linear Regression Using G*Power
Sample size calculation for multiple regression with G*Power. The video explains how the minimum sample size depends on the number of predictors and their correlations, emphasizing that simple rules like 50 or 75 are…
Sample Size Calculation for One-Way ANOVA Using G*Power
Sample size calculation for one-way ANOVA using G*Power is essential before conducting empirical data collection. It depends on the expected effect size, alpha error, statistical power, and the number of groups.
Sample Size Determination for Repeated Measures ANOVA Using G*Power
Sample size calculation for repeated measures ANOVA with G*Power is crucial before data collection. It depends on effect size, alpha level, power, and number of measurement points. This video demonstrates how to…
Determining Sample Size for Mann-Whitney U Test Using G*Power
Sample size estimation for the Mann-Whitney U Test with G*Power is essential before research. This video explains how various input parameters affect the recommended minimum sample size, focusing on effect size, alpha…
Calculating Sample Size for Mixed ANOVA Using G*Power
Sample size determination for mixed ANOVA with G*Power is essential before data collection. The required size depends on effect size, alpha level, power, and group count. This video demonstrates how to compute the…
Sample Size Calculation for Chi-Square Test Using G*Power
Sample size calculation for Chi-Square test using G*Power, focusing on determining the necessary sample size based on effect size, alpha error, statistical power, and degrees of freedom.
Sample Size Determination for Paired t-Test in SPSS
Before conducting a paired t-test in SPSS, a power analysis is recommended to determine the necessary sample size. The video demonstrates this process in SPSS 29, focusing on achieving sufficient statistical power to…
Sample Size Determination for One-Sample t-Tests Using G*Power
Sample size calculation for one-sample t-tests with G*Power is essential before conducting empirical research, depending on effect size, alpha level, power, and hypothesis direction. This video demonstrates how to find…
Sample Size Determination for Two-Sample t-Test in SPSS 29
Before conducting a two-sample t-test in SPSS, performing a power analysis is recommended to determine sample size. The video demonstrates how to use SPSS 29's Power Analysis feature to ensure sufficient statistical…
Stichprobengröße beim Wilcoxon-Test bei abhängigen Stichproben mit G*Power
G*Power: A (short) Beginner's Guide
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Stichprobengröße Chi-Quadrat-Unabhängigkeitstest mit G*Power
Stichprobengröße beim Einstichproben Wilcoxon-Test mit G*Power
Stichprobengröße beim Friedman-Test mit G*Power
Stichprobengröße bei der zweifaktoriellen ANOVA mit G*Power
Stichprobengröße bei der einfaktoriellen ANOVA mit SPSS
Stichprobengröße bei der zweifaktoriellen ANOVA mit R
Stichprobengröße bei der einfaktoriellen ANOVA mit R
Stichprobengröße Chi-Quadrat-Anpassungstest mit R
Stichprobengröße bei der linearen Regression in R
@IEN_enjoy https://t.co/fCLrXW70YK https://t.co/wSZJElST2h これを契機にまとめてみてもいいのかな?再確認のために
RT @ai_biostat: ③ Zhang Y, et al. Post hoc power analysis: is it an informative and meaningful analysis? Gen Psychiatr. 2019;32(4):e100069.…
③ Zhang Y, et al. Post hoc power analysis: is it an informative and meaningful analysis? Gen Psychiatr. 2019;32(4):e100069. https://t.co/UGwYjLyOml (4/5)
Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/PaSZdryrwI
@IvansCat1 @christoph_rothe Deshalb gibt es ja die sog. N(opt.) Formeln (Cohen). Sie geben als Studienleiter eine für Sie wiss. relevante Effektgröße vor, definieren Power und Alpha (bspw. 85% / 5%). Und berechnen daraus N(opt.) für den jeweiligen Test. Stichwort G*Power https://t.co/b6iYc56JUl
Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/DO3z6V0bwJ
RT @mazuisake: 上記サイトの事後分析(post hoc)-検出力分析というのは間違ってるのかな Post hoc power analysis: is it an informative and meaningful analysis? https://t.co…
RT @mazuisake: 上記サイトの事後分析(post hoc)-検出力分析というのは間違ってるのかな Post hoc power analysis: is it an informative and meaningful analysis? https://t.co…
上記サイトの事後分析(post hoc)-検出力分析というのは間違ってるのかな Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/hx5sfMWhmr
DeepLでPDFを和訳させてみた Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/hx5sfMWhmr https://t.co/2HiehZv9Wp
Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/DO3z6UI2iB
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
RT @uranus_2: 事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
事後的な検定力分析では、真の検定力は分からない。Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/Y9NVUvzCkX
Post hoc power analysis: is it an informative and meaningful analysis? https://t.co/77PQFrHN0V Why is this even a question? ...it is not only conceptually flawed but also analytically misleading