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Permaculture, Final Capstone Paper 5-26, Hope - Never Ending Food

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PRESENTATION AND ANALYSIS OF DATA<br />

I. PROFILE OF THE RESPONDENTS<br />

FARMER CHARACTERISTICS<br />

Specific farmer characteristics, with the exception of age, have not typically been useful<br />

in explaining farmers’ decisions to adopt certain agricultural practices (Neill & Lee, 2001).<br />

However, several variables were included in the data collection as explanatory variables. Gender<br />

was measured as the dummy variable 8 female, where 1 was entered if participants are female. As<br />

seen in Table 3, fifteen male participants and 12 female participants were selected from four<br />

regions within Malawi. In Nkhata Bay, all 5 participants were male due to an inability to identify<br />

females who fit the specific criteria for participation. The ages of participants ranged from 23 to<br />

75 years, with a mean of 41.<br />

Religion was measured as a dummy variable, where 1 was equal to identification as<br />

Christian. All but one participant identified themselves as Christians with one participant who<br />

identified as Muslim. The variable married was measured as a dummy variable where 1 is equal<br />

to the participant identifying as being married. Three participants are separated or divorced,<br />

while the remaining 24 are married. All participants indicated financial responsibility for<br />

dependents such as children, ageing parents, and ailing family members and 20 of 27 participants<br />

indicated guardianship for at least one orphan child. This variable, dependents, was measured as<br />

a continuous variable indicating the number of dependents in the household. Excluding<br />

participant 17, who reported responsibility of <strong>26</strong> orphans, the mean of dependents among<br />

participants is 6.<br />

8 Dummy variable refers to the method of quantifying data that does not have quantitative value. Ex. 0 is equal to<br />

male, while 1 is equal to female.<br />

27

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