The number of agricultural organizations and tribal activity that TAP user groups

participated in, although not statistically significant, merits discussion because they have

fairly low p-values, 0.09 and 0.08, respectively. This is consist with Mathijis' research

(2003). His results show a positive correlation between use of new technologies and

organizational involvement. The low TAP users were more likely to participate in

agricultural organizations and tribe-related activities than the high user group. This

suggests these organizations do influence adoption behavior. These organizations may

support the use of conventional technologies over more traditional ones.

 Net farm income for 2004, although not statistically significant, also merits

discussion because of its low p-value 0.13. This is consistent with Pattnayak, Mercer,

Sills and Yang (2003) and McNamara and Wetzstein's (1991) research which shows that

there is a correlation between farm income and adoption behavior. The low TAP user

group has a higher net farm income than the high TAP user group. This makes sense

when considering the variable selling of crops. Those farmers, low TAP users, who sell

their crop's are also more likely to have a higher net farm income.

 The high and low TAP user groups were similar to each other based on the

variables number of laborers, household income 2004 and gender. My results do not

corroborate previous findings that show that the number of laborers on farms is correlated

with use of new agricultural technologies (Thangata & Alavalapati, 2003). The lack of

difference between groups may be associated with historical components related to

farming. A few farmers from the high TAP user group said that it was important to

preserve farming to maintain their culture during interviews. Preservation may be

associated with including other individuals in the farming process. Since low users