<p>Results of linear regression analysis (copulation latency, n = 41, model a,b) and logistic regression analysis (paternity share, n = 20, model c,d). Independent variables (predictors) were differences in traits between the two competing males (see ‘Statistical analyses’ section for details).</p
<p>Regression analyses of personality variables predicting mate poaching in men and women (Study 2)....
<p>Results from conditional backward logistic regressions testing factors that significantly affecte...
<p>Female dominance, sexual dimorphism and percentage of males in the group. Regression analyses (sl...
<p>Descriptive statistics for male traits considered in the experiment, including means and their st...
<p>Trill and male quality measures were the dependent variables, and success siring offspring in oth...
<p>(a) The relation between ‘male copulation tie rate’ and the first factor of the PCA. High negativ...
<p>Trill and male quality measures were the dependent variables, and the proportion of social offspr...
Data set used for regression analysis to determine factors predicting both dyadic copulation rates a...
Results of mating competition experiments. For each individual mating trial the block and replicate ...
Oefficient when sperm competitive ability is estimated using fertilization success values (F). Each ...
<p>Fertilization success was measured as within-pair (WP) fertilization success (males that had not ...
Male fertilization success depends on investment in both pre- and postcopulatory sexually selected t...
<p>Regression analyses of personality variables predicting mate poaching in men and women (Study 1)....
<p>The dark grey line shows the fitted logistic regression equation, while the histograms show how m...
A complete understanding of male reproductive success, and thus sexual selection, often requires an ...
<p>Regression analyses of personality variables predicting mate poaching in men and women (Study 2)....
<p>Results from conditional backward logistic regressions testing factors that significantly affecte...
<p>Female dominance, sexual dimorphism and percentage of males in the group. Regression analyses (sl...
<p>Descriptive statistics for male traits considered in the experiment, including means and their st...
<p>Trill and male quality measures were the dependent variables, and success siring offspring in oth...
<p>(a) The relation between ‘male copulation tie rate’ and the first factor of the PCA. High negativ...
<p>Trill and male quality measures were the dependent variables, and the proportion of social offspr...
Data set used for regression analysis to determine factors predicting both dyadic copulation rates a...
Results of mating competition experiments. For each individual mating trial the block and replicate ...
Oefficient when sperm competitive ability is estimated using fertilization success values (F). Each ...
<p>Fertilization success was measured as within-pair (WP) fertilization success (males that had not ...
Male fertilization success depends on investment in both pre- and postcopulatory sexually selected t...
<p>Regression analyses of personality variables predicting mate poaching in men and women (Study 1)....
<p>The dark grey line shows the fitted logistic regression equation, while the histograms show how m...
A complete understanding of male reproductive success, and thus sexual selection, often requires an ...
<p>Regression analyses of personality variables predicting mate poaching in men and women (Study 2)....
<p>Results from conditional backward logistic regressions testing factors that significantly affecte...
<p>Female dominance, sexual dimorphism and percentage of males in the group. Regression analyses (sl...
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