Personality traits and job performance. When attempting to predict job performance using personality traits, researchers typically assume that the relationship is linear. A study published in the Journal of Applied Psychology (Jan. 2011) investigated a curvilinear relationship between job task performance and a specific personality trait—conscientiousness. Using data collected for 602 employees of a large public organization, task performance was measured on a 30-point scale (where higher scores indicate better performance) and conscientiousness was measured on a scale of -3 to +3 (where higher scores indicate a higher level of conscientiousness).

a. The coefficient of correlation relating task performance score to conscientiousness score was reported as r = 0.18. Explain why the researchers should not use this statistic to investigate the curvilinear relationship between task performance and conscientiousness.

b. Give the equation of a curvilinear (quadratic) model relating task performance score (y) to conscientiousness score (x).

c. The researchers theorized that task performance increases as level of conscientiousness increases, but at a decreasing rate. Draw a sketch of this relationship.

d. If the theory in part c is supported, what is the expected sign ofβ2in the model, part b?

e. The researchers reportedβ^2=0.32with an associated p-value of less than 0.05. Use this information to test the researchers’ theory atα=0.05

Short Answer

Expert verified

a. Researchers cannot use the correlation coefficient to investigate the curvilinear relationship amongst the variable as the correlation coefficient indicates the extent to which two variables move together but does not account for the curvilinear relationship the two variables might have.

b. The quadratic model equation relating task performance (y) to conscientiousness score (x) is y=β0+β1x+β2x2.

c. Graph

d. The curve is downward sloping, the value of β2 which measures the slope of the curvature will be negative.

e. At 95% confidence level, β20.

Step by step solution

01

Interpretation of r

The coefficient of correlation value, r = 0.18 which indicates a positive relation between y and x. However, researchers cannot use the correlation coefficient to investigate the curvilinear relationship amongst the variable as the correlation coefficient indicates the extent to which two variables move together but does not account for the curvilinear relationship the two variables might have.

02

Second-order model equation

The quadratic model equation relating task performance (y) to conscientiousness score (x) is y=β0+β1x+β2x2.

03

Graph

The relationship between y and x where y increases with x but at a decreasing rate can be shown using a downward sloping curve.

04

Sign of β2

Since the curve is downward sloping, the value of β2which measures the slope of the curvature will be negative.

05

Significance of β2

H0:β2=0Ha:β20

Here, t-test statistic=β^3sβ^3

H0is rejected if p-value < α. For α=0.05, it is mentioned that p-value is less than 0.05

Sufficient evidence to rejectH0 at 95% confidence interval.

Therefore, β20

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Question: Women in top management. Refer to the Journal of Organizational Culture, Communications and Conflict (July 2007) study on women in upper management positions at U.S. firms, Exercise 11.73 (p. 679). Monthly data (n = 252 months) were collected for several variables in an attempt to model the number of females in managerial positions (y). The independent variables included the number of females with a college degree (x1), the number of female high school graduates with no college degree (x2), the number of males in managerial positions (x3), the number of males with a college degree (x4), and the number of male high school graduates with no college degree (x5). The correlations provided in Exercise 11.67 are given in each part. Determine which of the correlations results in a potential multicollinearity problem for the regression analysis.

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