MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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4,
12.
How Call v.
13. Suppose that two raters (Rater A and Rater B) each assign pirysica attractiveness scO
= not at all attractive to 10 = extremely attractive) to a set of seven facial photogranhe
21
%3D
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 rate
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 followe
F
follows:
Photo
Rater A
Rater B
1
3.
5.
8.
6.
7.
8.
6.
4.
6.
10
6.
7.
5.
4.
a. Compute the Pearson correlation between the Rater A and Rater B attractiveness
ratings. What is the obtained r value?
b. Is your obtained r statistically significant (using a =.05, two tailed)?
Are the Rater A and Rater B scores "reliable"? Is there good or poor agreement
C.
between raters?
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Transcribed Image Text:4, 12. How Call v. 13. Suppose that two raters (Rater A and Rater B) each assign pirysica attractiveness scO = not at all attractive to 10 = extremely attractive) to a set of seven facial photogranhe 21 %3D 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 rate 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 followe F follows: Photo Rater A Rater B 1 3. 5. 8. 6. 7. 8. 6. 4. 6. 10 6. 7. 5. 4. a. Compute the Pearson correlation between the Rater A and Rater B attractiveness ratings. What is the obtained r value? b. Is your obtained r statistically significant (using a =.05, two tailed)? Are the Rater A and Rater B scores "reliable"? Is there good or poor agreement C. between raters?
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