Table 2.
Estimated parameters, SE, df, values of the LRT, and probabilities of the linear mixed model (LOGlatency, continuous variable)
Fixed effects | Estimate | SE | df | LRT | P |
---|---|---|---|---|---|
Intercept | 1.154 | 0.083 | a | a | a |
Kinship (related)b, c | 0.015 | 0.062 | 1 | 0.102 | 0.749 |
Age class combinationb, c (different age) | 0.093 | 0.057 | 1 | 3.008 | 0.083 |
Sex class combinationb, c (different sex) | 0.142 | 0.057 | 1 | 6.584 | 0.010 |
Social bonding | –0.002 | 0.002 | 1 | 0.594 | 0.441 |
PAIabs | 0.129 | 0.114 | 1 | 1.212 | 0.271 |
Mirror/no mirror responseb, c (no-mirror) | 0.128 | 0.079 | 1 | 2.583 | 0.108 |
n cases = 414; ndyads = 29. marginal R2 = 0.039; conditional R2 = 0.082. Variance for the random factor DYAD = 0.003 ± 0.056 SD; GROUP = 0.019 ± 0.139 SD).
Not shown as not having a meaningful interpretation.
Estimate ± SE refer to the difference of the response between the reported level of this categorical predictor and the reference category of the same predictor.
These predictors were dummy coded, with the “Kinship (unrelated)”, Age class combination (same age)”, Sex class combination (same sex)”, “Mirror/No mirror (mirror)” being the reference categories.