<p>∆<sub>i</sub> = difference in AIC<sub>c</sub> from best-fitting model; ω<sub>i</sub> = Akaike weight. See text and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0147162#pone.0147162.t003" target="_blank">Table 3</a> for model specifications. All models with ∆<sub>i</sub><4 are listed. ∆<sub>i</sub> for best-fitting models is always 0 and so not shown. For four measures (self-enhancement, categorisation, horizon ratio and additional objects), the global model did not fit the data so model comparison was not possible. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0147162#pone.0147162.s004" target="_blank">S1 Table</a> for full model comparison statistics.</p
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
<p>Lower ΔAIC values indicate better model fits (best model = 0). ΔAIC <2 indicates substantial supp...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>AIC<sub>c</sub> is Akaike’s information criterion corrected for small sample size, δAIC<sub>c</su...
<p>Median and sum differences in Akaike’s Corrected Information Criteria (AICc) between each model a...
<p>The difference between the corrected Akaike information criterion (ΔAIC<sub>c</sub>) was calculat...
<p>MOI Models 2–9 were fitted to the pooled data of Study 1 <a href="http://www.plosone.org/article/...
<p>MOI Models 2–9 were fitted to the pooled data of Study 2 <a href="http://www.plosone.org/article/...
<p>The correspondence with the different sections of <a href="http://www.plosone.org/article/info:do...
<p>Note: ΔAIC is the difference in AIC value between the top ranked model and the given model. Small...
<p><sup>(1)</sup> AIC = Akaike’s Information Criterion,</p><p><sup>(2)</sup>DF = Degrees of Freedom,...
<p>Note: ΔAIC and ΔBIC represent the difference in AIC or BIC as compared with the best equation. Th...
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...
<p>Lower ΔAIC values indicate better model fits (best model = 0). ΔAIC <2 indicates substantial supp...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>AIC<sub>c</sub> is Akaike’s information criterion corrected for small sample size, δAIC<sub>c</su...
<p>Median and sum differences in Akaike’s Corrected Information Criteria (AICc) between each model a...
<p>The difference between the corrected Akaike information criterion (ΔAIC<sub>c</sub>) was calculat...
<p>MOI Models 2–9 were fitted to the pooled data of Study 1 <a href="http://www.plosone.org/article/...
<p>MOI Models 2–9 were fitted to the pooled data of Study 2 <a href="http://www.plosone.org/article/...
<p>The correspondence with the different sections of <a href="http://www.plosone.org/article/info:do...
<p>Note: ΔAIC is the difference in AIC value between the top ranked model and the given model. Small...
<p><sup>(1)</sup> AIC = Akaike’s Information Criterion,</p><p><sup>(2)</sup>DF = Degrees of Freedom,...
<p>Note: ΔAIC and ΔBIC represent the difference in AIC or BIC as compared with the best equation. Th...
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
Bayes provides a better fit, but both models have large deviations from the data. Left and middle co...
<p>Lesser values indicate better model fit. According to all criteria the modified Mathews et al. (1...