Solution Found!
Study of supervisor-targeted aggression. “Moonlighters”are
Chapter 12, Problem 106E(choose chapter or problem)
Study of supervisor-targeted aggression. “Moonlighters”are workers who hold two jobs at the same time. What are the factors that impact the likelihood of a moonlighting worker becoming aggressive toward his/her supervisor? This was the research question of interest in theJournal of Applied Psychology (July 2005). Completedquestionnaires were obtained from n = 105 moonlighters, and the data were used to fit several multiple regression models for supervisor-directed aggression score (y).Two of the models (with \(R^2\) values in parentheses) are given below:
a. Interpret the \(R^2\) values for the models.
b. Give the null and alternative hypotheses for comparing the fits of models 1 and 2.
c. Are the two models nested? Explain.
d. The nested F-test for comparing the two models resulted in F = 42.13 and p-value < .001. What can you conclude from these results?
e. A third model was fit, one that hypothesizes all possible pairs of interactions between self-esteem, history of aggression, interactional injustice at primary job,and abusive supervisor at primary job. Give the equation of this model (model 3).
f. A nested F-test to compare models 2 and 3 resulted in a p-value > .10. What can you conclude from this result?
Questions & Answers
QUESTION:
Study of supervisor-targeted aggression. “Moonlighters”are workers who hold two jobs at the same time. What are the factors that impact the likelihood of a moonlighting worker becoming aggressive toward his/her supervisor? This was the research question of interest in theJournal of Applied Psychology (July 2005). Completedquestionnaires were obtained from n = 105 moonlighters, and the data were used to fit several multiple regression models for supervisor-directed aggression score (y).Two of the models (with \(R^2\) values in parentheses) are given below:
a. Interpret the \(R^2\) values for the models.
b. Give the null and alternative hypotheses for comparing the fits of models 1 and 2.
c. Are the two models nested? Explain.
d. The nested F-test for comparing the two models resulted in F = 42.13 and p-value < .001. What can you conclude from these results?
e. A third model was fit, one that hypothesizes all possible pairs of interactions between self-esteem, history of aggression, interactional injustice at primary job,and abusive supervisor at primary job. Give the equation of this model (model 3).
f. A nested F-test to compare models 2 and 3 resulted in a p-value > .10. What can you conclude from this result?
ANSWER:Step 1 of 6
(a) The regression model 1 for supervisor-directed aggression score (y) with
coefficient of determination 
The multiple coefficient of determination,
independent variables age and gender in a regression model 1 explains 10.1% of
the total sample variation in supervisor score.