Q1 What is the difference between clinical significance and statistical significance? How might these concepts be applied to program evaluation? Give an example of an instance in which you might be torn between two types of significance in the reported results of research. What are some other types of statistical evaluations that help to sort out the true significance of clinical research findings? Provide at least two scholarly references for your discussion and justifications.

Q2. Select and read one of the following articles, located in the Topic 4 materials:

1. The Role of Faculty Mentors in the Research Training of Counseling Psychology Doctoral Students
2. The Career Development of Mexican American Adolescent Women: A Test of Social Cognitive Career Theory

Write a 500-750-word analysis of your selected article. Include the following in your analysis:

1. What are the key differences between qualitative and quantitative research?
2. What are the strengths and weaknesses of qualitative research designs?
3. What are the essential components that should be considered when applying qualitative methods to counseling outcomes?

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.

Q3. Descriptive Statistics Worksheet

Directions:Answer each question completely, showing all your work. Refer to the SPSS tutorials located in the Topic 4 materials as needed. Copy and Paste the SPSS output into the word document for the calculations portion of the problems. (Please remember to answer the questions you must interpret the SPSS output).

• A researcher is interested to learn if there is a linear relationship between the hours in a week spent exercising and a person’s life satisfaction. The researchers collected the following data from a random sample, which included the number of hours spent exercising in a week and a ranking of life satisfaction from 1 to 10 ( 1 being the lowest and 10 the highest).
• Find the mean hours of exercise per week by the participants.
• Find the variance of the hours of exercise per week by the participants.
• Determine if there is a linear relationship between the hours of exercise per week and the life satisfaction by using the correlation coefficient.
• Describe the amount of variation in the life satisfaction ranking that is due to the relationship between the hours of exercise per week and the life satisfaction.
• Develop a model of the linear relationship using the regression line formula.