Module 2 Assignment 2

Description

Directions: The research questions below are used as examples throughout this chapter. Identify the appropriate statistical test for each question by using both decision-making tools from Chapter 2.
Example :1 To what degree do undergraduate GPA scores predict graduate GPA?Regression (pp.14)

1. Do males and females have significantly different incomes?
2. What is the association between test scores and hours studied?
3. To what degree do GRE scores predict graduate GPA?
4. Do three types of counseling significantly affect self-esteem and self-efficacy?
5. What are the causal relationship between life satisfaction, work satisfaction, and self-esteem among mental health clients?
6. Which of the following risk-taking behaviors, amount of alcohol use, drug use, sexual activity, violence, distinguish between THREE groups of clients: and suicide attempters who are not successful; suicide attempters who are successful, and those who have not attempted suicide?
7. Does marital status including married, separated and divorced, significantly affect self-self-esteem scores and depression scores after controlling for the effect of age?
8. Does ethnicity significantly affect self-esteem scores and work satisfaction scores controlling for the effect of family income?
9. Which of the following risk-taking behaviors including amount of alcohol use, drug use, sexual activity best predict depression scores among adolescents?
10. Do three groups of mental health clients with low, middle, and high incomes have significantly different life satisfaction scores?
11. Does ethnicity and gender significantly affect self-esteem scores and life satisfaction scores?
12. What underlying factor structure exists among the variables of depression, self-efficacy, self esteem, and work satisfaction?
13. To what extent do certain risk-taking behaviors including amount of alcohol use, drug use and sexual activity, increase the odds ratio for the following GROUPS: suicide attempters AND NON-suicide attempters.
14. Do ethnicity and gender significantly affect income and job satisfaction controlling for age?