Occupational safety study. An important goal in

Chapter 12, Problem 21E

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QUESTION:

Occupational safety study. An important goal in occupational safety is “active caring.” Employees demonstrate active caring (AC) about the safety of their coworkers when they identify environmental hazards and unsafe work practices and then implement appropriate corrective actions for these unsafe conditions or behaviors. Three factors hypothesized to increase the propensity for an employee to actively care for safety are (1) high self-esteem, (2) optimism, and (3) group cohesiveness. Applied & Preventive Psychology (Winter 1995) attempted to establish empirical support for the AC hypothesis by fitting the model \(E(y)=\beta_0+\beta_1x_1+\beta_2x_2+\beta_3x_3\), where

y = AC score (active caring score, 15-point scale)

\(x_1\) = self-esteem score

\(x_2\) = Optimism score

\(x_3\) = Group cohesion score

The regression analysis, based on data collected for n = 31 hourly workers at a large fiber-manufacturing plant, yielded a multiple coefficient of determination of \(R^2 = .362\).

a. Interpret the value of \(R^2\).

b. Use the \(R^2\) value to test the global utility of the model. Use \(\alpha\ =\ .05\).

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QUESTION:

Occupational safety study. An important goal in occupational safety is “active caring.” Employees demonstrate active caring (AC) about the safety of their coworkers when they identify environmental hazards and unsafe work practices and then implement appropriate corrective actions for these unsafe conditions or behaviors. Three factors hypothesized to increase the propensity for an employee to actively care for safety are (1) high self-esteem, (2) optimism, and (3) group cohesiveness. Applied & Preventive Psychology (Winter 1995) attempted to establish empirical support for the AC hypothesis by fitting the model \(E(y)=\beta_0+\beta_1x_1+\beta_2x_2+\beta_3x_3\), where

y = AC score (active caring score, 15-point scale)

\(x_1\) = self-esteem score

\(x_2\) = Optimism score

\(x_3\) = Group cohesion score

The regression analysis, based on data collected for n = 31 hourly workers at a large fiber-manufacturing plant, yielded a multiple coefficient of determination of \(R^2 = .362\).

a. Interpret the value of \(R^2\).

b. Use the \(R^2\) value to test the global utility of the model. Use \(\alpha\ =\ .05\).

ANSWER:

Step 1 of 3

a)  The multiple coefficient of determination,  value (given) is 0.362. This implies

that the using the independent variables self-esteem score, optimism score and

group cohesion score in a ?rst-order model explains 36.2% of the total sample

variation (measured by ) in AC score Thus,  is a sample statistic that

tells how well the model fits the data and thereby represents a measure of the

usefulness of the entire model.

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