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Results for "post hoc power"
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2 votes
1 answer
198 views

post hoc power analysis for SEM model?

What are my options for conducting any sort of power analysis post hoc? And if not a post hoc power analysis, what should I report? …
Bob Bernstein's user avatar
5 votes
1 answer
2k views

Post-hoc power size calculation

However, one of the persons that is reviewing my analysis says that I should also perform a post-hoc power analysis for this study, considering also the little difference between the two cut-offs (the … I have read about the fact, and probably you will confirm it, that performing a post-hoc power analysis is not considered correct, but I have to do it. Is it correct to use this formula? …
Dimitrie's user avatar
  • 147
5 votes
1 answer
317 views

Is post-hoc power analysis redundant too in the case of a *significant* result? [duplicate]

I've read that post-hoc power analysis is useless when the result of a test is statistically insignificant, which I understand (post-hoc power analysis is just circular logic in this scenario). … Subsidiary question: are there situations where it wouldn't be justified to run post-hoc power analysis after finding a significant result? …
Giulia's user avatar
  • 51
6 votes
1 answer
567 views

Post-hoc power analysis for null results: how to use 95% confidence interval instead?

However, at the end, the website cautions: The Dangers of Post-Hoc Analysis Post-hoc power analysis has been criticized as a means of interpreting negative study results.2 Because post-hoc analyses are … typically only calculated on negative trials (p ≥ 0.05), such an analysis will produce a low post-hoc power result, which may be misinterpreted as the trial having inadequate power. …
tchoup's user avatar
  • 399
3 votes
1 answer
913 views

Post-hoc power analysis of complex sample survey data

As part of my analysis result I want to report the post-hoc power for each predictor. … However, post-hoc power analysis in Stata (and other softwares I know) is done assuming the data is generated through a simple random sampling. …
Ayalew A.'s user avatar
  • 645
0 votes
2 answers
137 views

The calculation method of post-hoc power in t-test without welch's correction

【What I do not want】:(Please read carefully): Criticism of the "post-hoc power" is no thank you !! This is not a place to criticize the"" post-hoc power." … (My question4): In the following 【My Experiment】, does 【My Code】 calculate the post-hoc power of Equation 1? …
Blue Various's user avatar
2 votes
2 answers
3k views

Post hoc power analysis

My thinking is that maybe a post hoc power analysis might tell me something useful. SPSS spits out an observed power of 0.69. At this point I am lost. Does the observed power tell me anything useful? …
StrongBad's user avatar
  • 330
1 vote
2 answers
4k views

What is the post-hoc power in my experiment? How to calculate this?

“Correct post-hoc analysis” I said is synonymous with “post-hoc analysis that many people criticize.” My Question What is the post-hoc power in the following experiment? … = NULL, alternative = c("two.sided")) Which is the “correct” post-hoc power calculation code? …
Blue Various's user avatar
0 votes
0 answers
118 views

Adjust alpha in post-hoc-power when bonferroni corrected before?

I was wondering whether I need to adjust my alpha when testing the power of effects for which I have adjusted for multiple testing. … Now, I would like to do a post hoc power simulation via simr. Do I also need to set alpha to 0.05/8 ? …
a.henrietty's user avatar
3 votes
1 answer
1k views

Post hoc power analysis for multilevel regression analysis

Now, there is a significant pred1 fixed effect (p< .001), and I was asked to preform a post hoc power analysis arguing that 17 L2 groups do not yield acceptable power. … Questions: Does it ever make sense to do post hoc power analysis, for either significant or insignificant results? …
User33268's user avatar
  • 1,782
3 votes
2 answers
634 views

Post-hoc power analysis on logistic regression with varying sample size in R

analysis - designed experiments, I modified that R code to perform post-hoc power analysis. … In this post-hoc power analysis I assume that the rates estimated from the observed data are true. repetitions = 10 significant = matrix(nrow=repetitions, ncol=3) for(i in 1:repetitions){ final_rep …
CafféSospeso's user avatar
0 votes
0 answers
83 views

Post hoc power for multiple logistic regression

[17] 0.286 0.147 0.106 0.082 0.998 1.000 0.259 0.329 0.059 0.701 0.479 0.295 0.995 0.094 0.770 0.370 [33] 0.653 0.259 0.134 0.600 0.082 0.307 0.877 0.351 0.460 0.855 0.855 Edit: I think calculating posthoc power is not a good idea, but instead I would calculate sample size for a follow up study, how I edit this code to calculate it? …
NEA's user avatar
  • 71
15 votes
1 answer
1k views

If we shouldn't do post hoc power calculations, are post hoc effect size calculations also i...

We have posts on here discussing why post hoc power calculations are flawed. What about post hoc calculations of the effect size that we could catch? That seems logically equivalent. … If I were to flip the problem around to have an effect size of interest, say $0.3$, and calculate that we have $90\%$ power to detect such a difference, that seems like an invalid post hoc power calculation …
Dave's user avatar
  • 67k
0 votes
1 answer
384 views

post hoc power analysis on secondary data using Binary Logistic Regression

I have been asked by my supervisor to provide a post-hoc power analysis and don't understand which method to use, given I know the population, and the cases. …
PowerLess's user avatar
4 votes
1 answer
191 views

Does a post-hoc power analysis suffice in a psychological paper?

Based on post-hoc analysis, I had 89% power to detect this effect. But I am unsure about sample size. Someone might say it's too small for a study with a 3-way interaction. … Now, can I simply report the post-hoc power analysis in a paper and claim that it's ok? …
Putinessa's user avatar

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