Suppose that two raters (Rater A and Rater B) each assign physical attractiveness scores (0 = not at all attractive to 10 = extremely attractive) to a set of seven facial photographs. Pearson’s r can be used as an index of interrater reliability or agreement on quantitative ratings. A correlation of +1 would indicate perfect rank-order agreement between raters, while an r of 0 would indicate no agreement about judgments of relative attractiveness. An r of .8 to .9 is considered desirable when reliability is assessed. For this example, Rater A’s score is the X variable and Rater B’s score is the Y variable. The ratings are as follows: Photo Rater A Rater B 1 3 5 2 5 5 3 8 9 4 7 8 5 6 4 6 10 9 7 5 4 Compute the Pearson correlation between the Rater A and Rater B attractiveness ratings. What is the obtained r value? Is your obtained r statistically significant (using α =.05, two tailed)? Are the Rater A and Rater B scores “reliable”? Is there good or poor agreement between raters?
Suppose that two raters (Rater A and Rater B) each assign physical attractiveness scores (0 = not at all attractive to 10 = extremely attractive) to a set of seven facial photographs. Pearson’s r can be used as an index of interrater reliability or agreement on quantitative ratings. A correlation of +1 would indicate perfect rank-order agreement between raters, while an r of 0 would indicate no agreement about judgments of relative attractiveness. An r of .8 to .9 is considered desirable when reliability is assessed. For this example, Rater A’s score is the X variable and Rater B’s score is the Y variable. The ratings are as follows: Photo Rater A Rater B 1 3 5 2 5 5 3 8 9 4 7 8 5 6 4 6 10 9 7 5 4 Compute the Pearson correlation between the Rater A and Rater B attractiveness ratings. What is the obtained r value? Is your obtained r statistically significant (using α =.05, two tailed)? Are the Rater A and Rater B scores “reliable”? Is there good or poor agreement between raters?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
Suppose that two raters (Rater A and Rater B) each assign physical attractiveness scores (0 = not at all attractive to 10 = extremely attractive) to a set of seven facial photographs. Pearson’s r can be used as an index of interrater reliability or agreement on quantitative ratings. A
Photo |
Rater A |
Rater B |
1 |
3 |
5 |
2 |
5 |
5 |
3 |
8 |
9 |
4 |
7 |
8 |
5 |
6 |
4 |
6 |
10 |
9 |
7 |
5 |
4 |
- Compute the Pearson correlation between the Rater A and Rater B attractiveness ratings. What is the obtained r value?
- Is your obtained r statistically significant (using α =.05, two tailed)?
- Are the Rater A and Rater B scores “reliable”? Is there good or poor agreement between raters?
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps with 1 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman