Dr. Oswald conducts a study examining the relationship between the number of friends one has and the experience of daily stress
and life satisfaction. She randomly samples 1,500 elderly men and women in the Memphis, Tennessee, area in the southern United States. Below are her findings. < Life satisfaction and experience of daily stress: r = −.57 ( p = .01) < Number of friends one has and experience of daily stress: r = .09, not sig. < Number of friends one has and life satisfaction: r = .36 ( p = .04) According to the benchmarks established by Cohen, what type of effect size has Dr. Oswald found for the association between number of friends and life satisfaction?
I believe the answer is: These scores are more likely to have an effect because of the large sample size
In asking about satisfaction, the data could only come from the life experiences or personal principle of the individuals in the samples. Because of this, the scores would have relatively same effect regardless of the amount of sample size that the researchers use.
The given probability states that 39.9% of the 3 years olds are in daycare. Therefore, it would be obvious to assume that if you randomly selected a 3 year old, that would be the probability that he/she is in daycare.
