Table 2.
ANOVA analysis of demographic and land characteristic variables among the three clusters.
| Variable | p-value | Cluster 1 (Mean) | Cluster 2 (Mean) | Cluster 3 (Mean) |
|---|---|---|---|---|
| Age (1 = 34 years or younger, 2 = between 35 and 44, 3 = between 45 and 54, 4 = between 55 and 64, 5 = 65 years or older) | 0.002** | 4.70a | 4.04b | 4.24ab |
| Gender (1 = male, 2 = female) | 0.575 | 1.10 | 1.06 | 1.05 |
| Education (1 = less than high school/GED, 2 = high school/GED, 3 = some college, 4 = associated degree, 5 = bachelor’s degree, 6 = advanced degree) | 0.070* | 3.78a | 3.85a | 4.34b |
| Annual household income (1 = less than $20k, 2 = $20k to $49,999, 3 = $50k to $79,999, 4 = $80k to $100k, 5 = more than $100k) | 0.476 | 3.77 | 3.82 | 4.01 |
| Acreage (acres) | < 0.001*** | 441.38a | 1325.16b | 627.16a |
| Tenure (year) | 0.507 | 38.00 | 38.13 | 34.29 |
*Significant at p < 0.10, **p < 0.05, ***p < 0.001; a, bmeans with different subscripts are statistically different.