Respondents from both TAP user groups said that they get information about
farming from elders and OSU Extension. Low TAP users also said that they get
information from USDA outreach office, other farmers and farm magazines. High TAP
users said that they get information from nowhere, the internet, parents, books and the
moon. Both TAP user group members said that they go nowhere and elders when they
have issues related to farming.
Zero of the two variables used to evaluate how well the Diffusion Innovation model
explains Cherokee farmers' use of TAP are significant differences between user groups
(a = 0.05). There is significant evidence to reject Hypothesis Two (Table 4-7).
Hypothesis Four
4. The theory of planned behavior will better explain why farmers' use TAP than any
of the other theoretical models.
I ran a logistic regression with four of the five socioeconomic characteristics,
hours a week farming, years farming number of acres cultivated and selling crops which
showed differences between groups. I did not run the model with age. When I included
the five variables in the model, the model became unstable. This is because the sample
size is small. To run the model with all five variables a larger sample is needed. I looked
at correlation between all of these variables. Age was more often correlated with other
socioeconomic variables among both TAP user groups than any other variable.
Therefore, I removed age from the model (Appendix F).
I ran the model to determine which of these variables are the most important
predictors of farmers' use of TAP and to determine how strong of a predictor of behavior
the socioeconomic model is (Appendix F). The logistic regression shows that none of the
four socioeconomic variables are significant predictors of behavior (a = 0.05). However,