Open CJAB93 opened 4 years ago
Hi @CJAB93
Thanks for that suggestion - this could also be the basis for showing a "grouping by letters" table. Would that also remedy your other issue? (https://github.com/jasp-stats/jasp-issues/issues/342)
Kind regards Johnny
I would also love to see Fishers LSD added to the ANOVA post-hoc options. Is there any update on this?
@CJAB93 @danijela-i This is not forgotten. But it is not yet a priority. Sorry.
Any update on this?
Hi @Ivo3185,
The next JASP release (out this week or the next) will have letter-based representations for post hoc tests, which I think is similar to Fishers LSD - is that something you could work with? If not, how does the use of LSD differ from the letter-based approach for you?
Cheers Johnny
Hello, @JohnnyDoorn, Thank you so much for your quick reply. Letter-based representation would be a welcome addition, but would not resolve my need for Fisher's LSD. I want to present uncorrected p-values for each ANOVA pairwise comparison, the same way JASP allows me to do with BF10,U. Right now, you can only get corrected values (not selecting any correction only returns t-values), but those values are too conservative.
This issue will be automatically closed in 42 days due to inactivity. Feel free to leave a comment if you believe this is still relevant.
This issue will be automatically closed in 42 days due to inactivity. Feel free to leave a comment if you believe this is still relevant.
Still relevant
Enhancement: I would love it if a Fishers Least Significant Difference test could be added as a post-hoc test after an ANOVA.
Purpose: Now, if I use an ANOVA for a large number of different treatments/independent variables (which happens quite often in Biology), the quite conservative correction by Tukey etc makes it impossible to distinguish any trends: everything will be insignificant due to the high amount of pairwise comparisons. Using the non-(Bonferroni) corrected Fishers LSD can give leads on which treatment to investigate further, even if it is not (statistically speaking) correct/neat to interpret significant results as "real" significant results due to type I errors.
Also, it gives me, the researcher, the freedom to manually apply a Bonferroni-correction that I deem correct. Instead of a correction for ALL pairwise comparisons, I might only be interested in the comparisons between treatments and control, and not comparisons between two treatments.
Describe the solution you'd like I want Fishers LSD adopted in the post-hoc options.
Thanks!