Can Hedges' g be greater than 1 for paired t-tests?

  • Thread starter Thread starter Soaring Crane
  • Start date Start date
  • Tags Tags
    T-test
AI Thread Summary
Hedges' g can indeed be greater than 1 for paired t-tests, depending on the difference between the means and the standard deviations of the two groups. The formula for Hedges' g is expressed as the difference between the means divided by the average standard deviation of the two groups. Clarification is needed regarding the term "average standard deviation," which should refer to the mean of the standard deviations of the two datasets. In a practical example, if test scores before and after studying are used, Hedges' g would be calculated using the means and standard deviations of those scores. Understanding these calculations is essential for accurately interpreting effect sizes in paired t-tests.
Soaring Crane
Messages
461
Reaction score
0
Can Hedges' g (effect size) for a paired t-test be greater than 1 if the following is the formula for g?


g = (mean_1 - mean_2)/(average standard deviation of the two variables)

Thank you.
 
Physics news on Phys.org
You should define what you mean by "average standard deviation of the two variables". (And you shouldn't say ithe things involved are parameters of "the variables" if you actually mean the things involved are quantities calculated from a sample.)
 
If you have a data set comprised of test scores before studying (G1) and a data set comprised of test scores after studying (G2),

formula would read as:

g = (mean_G1 - mean_G2)/(mean of standard deviation_G1 and standard deviation_G2).

Thank you.
 
I was reading documentation about the soundness and completeness of logic formal systems. Consider the following $$\vdash_S \phi$$ where ##S## is the proof-system making part the formal system and ##\phi## is a wff (well formed formula) of the formal language. Note the blank on left of the turnstile symbol ##\vdash_S##, as far as I can tell it actually represents the empty set. So what does it mean ? I guess it actually means ##\phi## is a theorem of the formal system, i.e. there is a...
Back
Top