# Question: Suppose that two raters rater A and rater B each

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 7 facial photographs. Pearson r is a common index of inter-rater 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. Generally r’s of .8 to .9 are considered desirable when reliability is assessed. The attractiveness ratings are as follows:

a. Compute the Pearson correlation between the Rater A/Rater B attractiveness ratings. What is the obtained r value?

b. Is your obtained r statistically significant? (Unless otherwise specified, use = .05 two tailed for all significance tests).

c. Are the rater A and rater B scores “reliable”? Is there good or poor agreement between raters?

a. Compute the Pearson correlation between the Rater A/Rater B attractiveness ratings. What is the obtained r value?

b. Is your obtained r statistically significant? (Unless otherwise specified, use = .05 two tailed for all significance tests).

c. Are the rater A and rater B scores “reliable”? Is there good or poor agreement between raters?

**View Solution:**## Answer to relevant Questions

A review from Chapter 5 and 6: what other analyses could you do with the variables in the SPSS data set love.sav (variables described in Table 7.1)? Give examples of pairs of variables for which you could do t tests or one ...Are there ever any circumstances when a correlation such as Pearson r can be interpreted as evidence for a causal connection between two variables? If yes, what circumstances? Here is a small set of (real) data that shows GNP per capita (X), and mean life satisfaction, for a set of 19 nations (Y). (Insert Table 9.2 about here) a. Enter the data into SPSS. b. Run the procedure; obtain the mean ...Discuss each of the following as a means of illustrating the partial correlation between X1 and Y, controlling for X2: what can each analysis tell you about the strength and the nature of this relationship? I. Scatter plots ...For a regression (to predict Y from X1 and X2), is it possible to have a significant R, but non significant b coefficients for both X1 and X2? If so, under what circumstances would this be likely to occur?Post your question