In: Statistics and Probability
. A research team wants to see if youth participation in cultural and sports activities may be related to higher values of self-esteem. A group of 100 youths who do participate in such activities were found to have a mean self-esteem of 53.8 (with a standard deviation of 5.1). For the general population of youths, the mean score on the same self-esteem measure is 50, and the standard deviation is 5.9).
Use this information to calculate and interpret the effect size for the mean difference between participating youths and the general youth population.
Solution
Back-up Theory
Effect size: for two-sample t-test
Cohen's d = mean difference /standard deviation ……………………..........………………………. (1)
= D/s
where
D = (X1bar – X2bar)
s = (s12 + s22)/2 is the pooled standard deviation
X1bar and X2bar are the two sample means and
s12 + s22 are the two sample standard deviations.
Interpretation of Effect Size .......................................................................................................... (2)
It provides a system for telling us precisely how large the effects we see in our data really are.
It measures the sizes of differences.
Magnitude of d Evaluation …………………………………………....................……………… (3)
0 < d < 0.2 Small effect
0.2 < d < 0.8 Medium effect
d > 0.8 Large effect
Now to work out the solution,
X1bar |
53.8 |
X2bar |
50 |
s1 |
5.1 |
s2 |
5.9 |
s12 |
26.01 |
s22 |
34.81 |
s2 |
30.41 |
s |
5.5145 |
D |
3.8 |
d |
0.6891 |
Thus, effect size = 0.69 Answer 1
Interpretation
Vide (2),
Effect size tells us how large or small the observed difference is.
Vide (3),
The observed difference of 3.8 is medium effect. Answer 2
DONE