Table 1.
Predictors | Estimates | SEM | CI95 | χ2 | P |
---|---|---|---|---|---|
GLMM1 presence of external signs of pathology (N = 140) (group identity was included as random factor) | |||||
(Intercept)a | 0.591 | 0.892 | −1.156, 2.338 | a | a |
Sex (lactating females)b | −1.392 | 0.576 | −2.520, −0.263 | −2.417 | 0.016 |
Sex (non-lactating females)b | 0.304 | 0.543 | −0.761, 1.368 | 0.559 | 0.576 |
Age class (immature)b | −1.044 | 0.545 | −2.112, 0.024 | −1.915 | 0.055 |
Group_category (frequent crop users)b | 1.189 | 0.541 | 0.129, 2.249 | 2.198 | 0.028 |
OMU size | −0.097 | 0.062 | −0.217, 0.024 | −1.573 | 0.116 |
GLMM2 time spent daily in grooming interactions (N = 95) (dyad and unit identity were included as random factors) | |||||
(Intercept)a | −2.167 | 0.589 | −3.321, −1.011 | a | a |
Sex_actor (female)b | −0.419 | 0.331 | −1.067, 0.229 | −1.265 | 0.210 |
Sex_receiver (female)b | −0.119 | 0.271 | −0.651, 0.412 | −0.440 | 0.662 |
Age class_actor (adult)b | 0.538 | 0.445 | −0.333, 1.410 | 1.210 | 0.230 |
Age class_receiver (adult)b | −0.224 | 0.313 | −0.388, 0.837 | 0.717 | 0.482 |
Area (crop)b | −0.590 | 0.225 | −1.031, −0.148 | −2.622 | 0.010 |
Crop_users (frequent crop users)b | −0.377 | 0.256 | −0.878, 0.124 | −1.474 | 0.146 |
Group_type (AMU)b | 0.116 | 0.468 | −0.800, 1.032 | 0.248 | 0.805 |
Season (small rainy season)b | 0.583 | 0.212 | 0.167, 0.999 | 2.047 | 0.007 |
GLMM3 intensity of aggression (N = 114) (dyad and OMU identity were included as random factors) | |||||
(Intercept)a | 0.512 | 0.564 | −0.534, 1.557 | a | a |
OMU (inter-OMU)b | 1.143 | 0.779 | −0.383, 2.669 | 1.467 | 0.142 |
Sex_dyad (different sex)b | −0.017 | 0.486 | −0.969, 0.935 | −1.035 | 0.972 |
Area (crop)b | −1.478 | 0.534 | −2.524, −0.432 | −2.770 | 0.006 |
Age_dyad (different age)b | −0.588 | 0.470 | −0.333, 1.508 | 1.251 | 0.211 |
Crop_user_dyad (different crop user frequency)b | 0.720 | 0.875 | −2.435, 0.995 | 0.823 | 0.411 |
Season (small rainy season)b | −0.731 | 0.541 | −1.791, 0.329 | −1.352 | 0.176 |
aNot shown as not having a meaningful interpretation
bThese predictors were dummy-coded, with the reference categories as follows: GLMM1–Sex: “male”; Age class: “adult”; Group_category: “infrequent crop users”; GLMM2–Sex actor/receiver: “male”; Age class actor/receiver: “immature”; Area: “pasture”; Crop users: “infrequent crop users”; Group_type: “OMU”; Season: “dry season”; GLMM3–OMU: “intra-OMU”; Sex_dyad: “same sex”; Area: “pasture”; Age dyad: “same age”; Crop user dyad: “same crop user frequency”; Season: “dry season”