new technologies. Many member of high and low TAP user groups during the interviews

said that they always used the same agricultural practices measured in the behavior index.

Most literature focuses on differences between behavior and socioeconomic

characteristics as they relate to adoption behavior as opposed to persistence behavior.

 Each TAP user group does appear to have a few distinctive characteristics that

differentiate them based on socioeconomic characteristic. The high TAP user group

tends to be less educated, younger, smaller scale farmers. They do not rely upon farming

as their primary source of income or as a primary occupation. It seems that this group

consists more of home gardeners than large scale commercial farmers. My direct

observations support this last implication. Low TAP user group members are more

educated, older, culitvate more acreage, rely more upon farming as a sources of income

and as primary profession. These farmers appear to consist more of commercial farmers

than home gardeners.

 Hypotheses Two and Three

2. A strong positive relationship will exist between farmers' attitudes towards their
 use of TAP, subjective norms, self-efficacy, control beliefs, self-identity and their
 use of TAP.
3. A positive relationship will exist between farmers' access to resources and their
 use of TAP.

 The results show that there is a relationship between some of the TPB variables and

farmers' use of TAP, but the TPB has little value as a model for explaining Cherokee

farmers' choice of farming practices. Some TPB variables differ between the two TAP

user groups while others do not. There was a difference between groups based on

attitude, subjective norms and modern self-identity. The results show that there is no

relationship between diffusion innovation variables and farmers' use of TAP. Neither the