As a counseling scholar practitioner, it is important for you to develop skills to deconstruct quantitative research and determine the implications of research results for practice. In order to develop these skills, you need to be familiar with the various types of quantitative research that are commonly used in the counseling profession.
Give an analysis of the implications of power and effect size on the interpretation and application of the research findings in the above scenario provided . Be specific and provide examples to illustrate your points.
The question refers to a counselor/scholar/ practitioner' need to know how to interpret results from a study that was conducted using quantitative analysis
As an example, a counseling practitioner/scholar may be comparing two groups for differences in alcohol consumption, and the impact on their psychological health. Any test in which the practitioner wants to detect a difference would be based on the sampling distribution (the distribution or spread of a random sample). Therefore, the distribution of participants in any sample is directly related to the standard deviation (i.e., the distance from the center of the distribution).. The standard deviation is a measure of how well the mean represents the data. A small standard deviation indicates that data points are close to the mean. A large standard deviation ...
This solution explains power and effect size