Answer:
Situational Leadership Model "adapts the leadership style to the employee".
According to Blake and Mouton's Leadership Grid, a 1,9 Style manager would most likely "go to great lengths to accommodate employees and prevent dissension"
A manager working to improve consideration skills should "specifically learn about the values of individual employees".
Explanation:
A Situational leadership style of management is one in which a leader adjusts his style of management, based on the situation, to suit the needs of his followers. Such a leader believes that there is no single best style of management that suits all situations.
Blake and Mouton developed a Managerial Grid on which they mapped a manager's concern into two categories; concern for people and concern for the product.
A 1,9 style manager, has low concern for the product and high concern for the people (employees). Such a manager goes to great lengths to make sure employees are happy and the work environment is friendly, but production suffers as a result.
Consideration involves caring, understanding, respecting and being sensitive to others. A manager who wants to improve consideration skills should learn about each individual employee's values so he can know how best to relate with each of them on a personal level.
Answer:
The Gracchus brothers could not change and improve Rome because the Senate acted strongly towards public land. Furthermore, several senators killed those brothers.
Also, the Senators could be considered aristrocrats because there were only a small amount of them and they were very controlling of Rome's land.
Good luck!
Lee might consider treating gender as: an independent variable.
The research detailed above examines the effect of an independent treatment variable (personalized conversation with snackbot) on a dependent variable: likelihood customers cooperated with the social robot. The independent variable involves a treatment and is dicotomic: equals 1 if there is personalized conversation and 0 if that option is not available.
But it might arise the idea that the results, the likelihood of cooperation with the robot, could be different depending on the gender of the subjects. It is probable that gender affects the dependent variable on its own, or it can also modify the effectiveness of the treatment. This is why the gender variable needs to be controlled for in the statistics model: on one side to know its effect on the dependent variable, and on the other hand, to obtain the pure treatment effect, not contaminated by the gender distinction.
