Table A10.
Model terms | Estimate | SE | t | df | F | P | Variance | SD |
---|---|---|---|---|---|---|---|---|
Species | 1,31 | 22.700 | <0.001 | |||||
Dogs vs Wolves | −2.359 | 0.495 | −4.769 | |||||
Species*Rank | 1,14 | 7.090 | 0.020 | |||||
Dogs' rank | −0.456 | 0.128 | −3.571 | 1,13 | 12.800 | 0.003 | ||
Wolves' rank | 0.213 | 0.194 | 1.095 | 1, 7 | 1.20 | 0.30 | ||
Rank | −0.109 | 0.141 | −0.776 | 1,14 | 0.60 | 0.50 | ||
Species*Age | 1,18 | 1.98 | 0.18 | |||||
Age | −0.005 | 0.033 | −0.149 | 1,19 | 0.02 | 0.88 | ||
Subject (random) | 0.391 | 0.626 | ||||||
Object (random) | 0.275 | 0.525 | ||||||
Test order (random) | 0.384 | 0.619 | ||||||
Residuals (random) | 0.240 | 0.489 |
LME statistic: model transformation to fit normal distribution of residuals: log(x); Shapiro–Wilk test: W = 0.99, P = 0.91. Significant P and t values in bold.