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QUIZ CHAPTER FIFTEEN

Psy302 Quantitative Methods. QUIZ CHAPTER FIFTEEN. Opening Day, Today: 3:00 p.m. 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.

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QUIZ CHAPTER FIFTEEN

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  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 __________ which is represented as r. • Standard deviation • Sum of squares • Correlation coefficient • mean • All of the above

  6. The strength and direction of a correlation are measured by the __________ which is represented as r. • Standard deviation • Sum of squares • Correlation coefficient • mean • All of the above

  7. 3. A researcher measures the following correlation between mood and eating. Which description best explains the relationship between these two factors? • Negative correlation • Positive correlation • Causal relationship • No linear pattern is evident. • All of the above

  8. 3. A researcher measures the following correlation between mood and eating. Which description best explains the relationship between these two factors? • Negative correlation • Positive correlation • Causal relationship • No linear pattern is evident. • All of the above

  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 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 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

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