The leadership competency instrument that was developed for county board

 members was used to accomplish objective three, measure the extent to which county

 Farm Bureau members practice the leadership expectations held by state Farm Bureau

 leaders and the level of importance they assign to those skills. This instrument was

 comprised of four competency sections: (1) 15 leadership, (2) 20 political process, (3) 15

 effective boards, and (4) 16 knowledge of Farm Bureau. The mean and standard

 deviation was calculated for the importance and proficiency of each competency section.

 Determine leadership attitude, will, and desire of active Florida Farm Bureau

 members was accomplished in objective four, by analyzing the data of each section of the

 instrument. A mean and standard deviation was found for the motivation sources

 inventory and the semantic differential. A reliability analysis was conducted on the

 Likert scale about perceptions of serving on county boards.

 Multiple linear regression was used in the accomplishment of objective five,

determine reason why local Farm Bureau members chose to participate or not participate

in leadership roles in local county Farm Bureau boards. Vogt (1999) describes regression

analysis as a predictor for whether something will happen or not, such as graduation,

business failure, or in this case, participation on a county board. Regression is used to

determine the nature of the relationship between a dependent variable and more than one

independent variable (Black, 1999). For this analysis, the dependent variable is

participation on a county board, and the independent variables are: the four motivation

factors from the motivation sources inventory, the three factors about attitude on

volunteering from the semantic differential, attitude about serving on a county board, and

the following demographic variables: motivation internal self-concept factor, evaluative