Table 1.
Dominance | Other parameters | Leadership | 10 vs. 30 | |||||
AA | FQ | PO | TAF | Size | Age | GFL | ||
Dominance | ||||||||
AA | X | <0.001 | <0.001 | 0.044 | 0.768 | 0.730‾ | 0.183 | 0.025 |
FQ | <0.001 | x | <0.001 | <0.001 | 0.020 | 0.649‾ | 0.104 | <0.001 |
PO | <0.001 | <0.001 | x | 0.007 | 0.421 | 0.866‾ | 0.411 | <0.001 |
Other parameters | ||||||||
TAF | 0.044 | <0.001 | 0.007 | x | 0.002 | 0.787‾ | 0.126 | <0.001 |
Size | 0.768 | 0.020 | 0.421 | 0.002 | x | 0.213‾ | 0.522‾ | x |
Age | 0.730‾ | 0.649‾ | 0.866‾ | 0.787‾ | 0.213‾ | x | 0.298 | x |
Leadership | ||||||||
GFL | 0.183 | 0.104 | 0.411 | 0.126 | 0.522‾ | 0.298 | x | 0.010 |
The table shows P values of the meta-analysis of the Pearson correlations for the three groups of 10 (A, B, C), using Fisher’s combined probability test (29). For each group, we calculated two-tailed Pearson correlations for the NormDS from the antisymmetrized interaction matrices. The final column contains P values for Pearson correlations between individual scores of the same 30 birds when measured in their respective groups of 10 and their scores in the group of 30 (n = 30), using NormDS to score dominance and leadership. Cells that contain significant correlations (P < 0.05) are in bold and strong significant correlations (P < 0.01) are highlighted in gray. Superscript “–” shows a correlation where the correlation coefficient is negative. “x” indicates cells where correlations are not applicable. See main text and Table S3 for descriptions of variables. See Table S1 for correlation coefficients and P values of all groups, calculated using pairwise interaction values as well as NormDS.