Hello,
I need to test if across a series of studies, the mean response is significantly different from chance (i.e., 0.5 for binary outcomes). I calculated the effect size for one-sample t-test using this,
gen delta = response - 0.5
summ delta
local esize_onesample `r(mean)'/`r(sd)'
display =`esize_onesample'
However, this does not give the confidence interval the effect size estimate that I need for running the meta analysis. Is there a way to obtain the confidence intervals for the effect size(s)?
Thanks!
Related Posts with Bootstrapped CI for effect size for one sample t-test
How to drop specific columns and rows in matrix?I created a matrix named "m" with the following commands. Is there a simple way to remove all the r…
How to transfer my string variable to date variable? Code: * Example generated by -dataex-. To install: ssc install dataex clear input str10 week float …
Optimization does not convergeDear All, I have a black-box data generation routine, which depends on three parameters A,B,C. I ge…
How to add R-squared in -esttab- regression? Code: sysuse auto, clear eststo: regress price weight mpg eststo: regress price weight…
Regression interpretation coefficientsI am conducting a logit regression where i interpret the coefficients because it is a correlational …
Subscribe to:
Post Comments (Atom)
0 Response to Bootstrapped CI for effect size for one sample t-test
Post a Comment