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. Author manuscript; available in PMC: 2012 Sep 5.
Published in final edited form as: Science. 2011 Jul 15;333(6040):357–360. doi: 10.1126/science.1207120

Table 1.

Effect of hierarchy stability and social dominance on hormone concentrations.

Dependant variable: log fGC
Variables* b Numerator
df
Denominator
df
F Sig.
Intercept 1 429.665 4758.378 <0.001
Dominance rank 0.0043 1 1578.129 5.390 0.020
Alpha status 0.0437 1 2334.854 9.134 0.003
Hierarchy stability −0.0182 1 2351.302 5.666 0.017
Season −0.0239§ 1 2324.398 9.100 0.003
Temperature −0.0062 1 2337.664 0.393 0.531
Age 0.0034 1 522.355 2.153 0.143
Dependant variable: log fT
Variables* b Numerator
df
Denominator
df
F Sig.
Intercept 1 625.525 3891.482 <0.001
Dominance rank −0.0124 1 2374.909 29.102 <0.001
Alpha status −0.0117 1 2360.698 0.473 0.492
Hierarchy stability 0.0146 1 2301.445 2.776 0.096
Season 0.0705§ 1 2290.120 60.702 <0.001
Temperature 0.0266 1 2294.284 5.481 0.019
Age −0.0249 1 1816.997 59.963 <0.001

Statistically significant results appear in bold.

*

Factors that were not significant for either hormone were dropped. These included the interaction between rank and hierarchy stability (a fixed factor) and social group (a random factor). For the four categorical variables (Alpha Status, Hierarchy stability, Season and Temperature), a positive value of b indicates that the hormone concentration was higher

for the alpha male,

when the hierarchy was stable,

§

during the wet season,

in cooler months. The variable ‘Dominance Rank’ captures the linear component of the functional relationship between rank and the hormones; the binary variable ‘Alpha Status’ captures the non-linear component.

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