QUIZ CHAPTER FIFTEEN

1. Psy302 Quantitative Methods QUIZ CHAPTER FIFTEEN

2. Opening Day, Today: 3:00 p.m.

3. 1. A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called • effect size • power • hypothesis testing • coincidence • a correlation

4. 1. A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called • effect size • power • hypothesis testing • coincidence • a correlation

5. The strength and direction of a correlation are measured by the correlation coefficient which is represented as: • μ •  • σ • r • cc

6. 2. The strength and direction of a correlation are measured by the correlation coefficient which is represented as: • μ •  • σ • r • cc

7. 3. A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule. Which description best explains the relationship between these two factors? • The more a person works, the more coffee he or she tends to drink. • The less a person works, the more coffee he or she tends to drink. • The more a person works, the less coffee he or she tends to drink. • No linear pattern is evident.

8. 3. A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule. Which description best explains the relationship between these two factors? • The more a person works, the more coffee he or she tends to drink. • The less a person works, the more coffee he or she tends to drink. • The more a person works, the less coffee he or she tends to drink. • No linear pattern is evident.

9. 4. With correlation data we cannot talk about: • a relationship between variables • prediction • one moving with another • one variable causing another • all of the above

10. 4. With correlation data we cannot talk about: • a relationship between variables • prediction • one moving with another • one variable causing another • all of the above

11. 5. R2 or ________ is the proportion of variance in one variable that can be explained by the second. • Times square • the coefficient of determination • the sum of squares • The Chi Square test • analysis of variance

12. 5. R2 or ________ is the proportion of variance in one variable that can be explained by the second. • Times square • the coefficient of determination • the sum of squares • The Chi Square test • analysis of variance

13. 6. Which of the following indicates the strongest correlation? • r = –0.57 • r = +0.78 • r = –0.90 • r = +0.88 • r= .o99

14. 6. Which of the following indicates the strongest correlation? • r = –0.57 • r = +0.78 • r = –0.90 • r = +0.88 • r= .o99

15. 7. The correlation coefficient ranges from –1.0 to +1.0, with values closer to ±1.0 indicating • a more positive relationship between two factors • a stronger relationship between two factors • that two factors are less likely to be related • that the correlation is due to outliers • all of the above

16. 7. The correlation coefficient ranges from –1.0 to +1.0, with values closer to ±1.0 indicating • a more positive relationship between two factors • a stronger relationship between two factors • that two factors are less likely to be related • that the correlation is due to outliers • all of the above

17. 8. The correlation coefficient measures the extent to which changes in one factor are _______ in a second factor. • related to changes • causing changes • causing variability • exactly mirrored • all of the above

18. 8. The correlation coefficient measures the extent to which changes in one factor are _______ in a second factor. • related to changes • causing changes • causing variability • exactly mirrored • all of the above

19. 9. The most common measure of effect size for the correlation coefficient is called • the correlation coefficient • the coefficient of determination • estimated Cohen's d • the test statistic

20. 9. The most common measure of effect size for the correlation coefficient is called • the correlation coefficient • the coefficient of determination • estimated Cohen's d • the test statistic

21. 10. The coefficient of determination is • a measure of effect size • mathematically equivalent to eta-squared • equal to the correlation coefficient squared • all of the above

22. 10. The coefficient of determination is • a measure of effect size • mathematically equivalent to eta-squared • equal to the correlation coefficient squared • all of the above

23. The End