8. Which of the following is true of effect size statistics, like Cohen’s d and eta-squared?
a. They estimate the magnitude of the treatment effect.
b. They are only relevant if the researcher has first determined that there is a significant effect.
c. They determine whether there is a significant treatment effect.
d. Both a and b
Effect sizes measures the magnitude of treatment effect and can be useful only when there is a significant effect.
Hence,
Option D is correct.
8. Which of the following is true of effect size statistics, like Cohen’s d and eta-squared?...
The effect size measure for a linear correlation is Eta squared Cohen’s D |r| All of these are appropriate
The effect size measure for a 2x2 chi square contingency table analysis is Eta squared Cohen’s D Phi All of these are appropriate
The effect size measure for a large chi square contingency table analysis is? A. Eta squared B. Cohen’s D C. Cramer’s V D. All of these are appropriate
need help with all m/af/serviet/quiztuizaction 12ckom 1555252849687 0AAABBEE016 8. Measuring effect size for factorial ANOVA Consider the results of a study in which a researcher is interested in the combination of drug types and behavioral therapies for relieving exercise regime) and antidepressants (FeelGood, Cheerup, Energize, and SadNoMore). The researcher defines the first factor as the Aa Aa symptoms. The researcher assigns patients to different types of behavioral programs (cognitive behavioral therapy or reguilar behavioral program and the second factor as...
A researcher would like to determine whether an over-the-counter cold medication has an effect on mental alertness. A sample of n = 25 participants is obtained, and each person is given a standard dose of the medication one hour before being tested in a driving simulation task. For the general population, scores on the simulation task are normally distributed with μ = 58 and σ = 20. The individuals in the sample had an average score of M = 56....
7. Effect size - Cohen's d and r squared Aa Aa E An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist's findings is that 1 year after the workshop, a...
To evaluate the effect of a treatment, a sample of n-8 is obtained from a population with a mean of ?-50, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M 55. a) If the sample variance is s-32, use a two-tailed test with ?-0.05 to determine whether the treatment effect is significant and compute Cohen's d b) If the sample variance is s- 72, repeat the test and...
A researcher would like to determine whether an over-the-counter cold medication has an effect on mental alertness. A sample of n= 18 participants is obtained, and each person is given a standard dose of the medication one hour before being tested in a driving simulation task. For the general population, scores on the simulation task are normally distributed with μ = 60. The individuals in the sample had an average score of M = 54 and an s = 8....
A researcher would like to determine whether an over-the-counter herbal nasal spray has an effect on mental alertness for infants. A sample of n = 16 infants is obtained, and each baby is given a standard dose of the spray one hour before being tested for mental alertness. For the general population of infants, scores on a mental alertness screening test are normally distributed with μ = 60. The infants in the sample had an average score of M =...
Which of the following is true when thinking about statistical significance and effect sizes? A. A statistically significant effect will always have a meaningful effect size. B. A statistically significant effect will usually have a large effect size. C. A large effect size is will always be statistically significant. D. A statistically non-significant effect can have a large effect size.