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- We propose that simple ordinal rank best predicts traits when competition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent.
royalsocietypublishing.org/doi/10.1098/rspb.2020.1013
Sep 9, 2020 · We propose that simple ordinal rank best predicts traits when competition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent. We found that for 75% of traits (15/20), one rank metric performed better than the other.
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We propose that simple ordinal rank best predicts traits...
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We propose that simple ordinal rank best predicts traits when compe-tition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent. We found that for 75% of traits (15/20), one rank metric performed better than the other.
- Emily J Levy, Matthew N Zipple, Emily McLean, Fernando A Campos, Fernando A Campos, Mauna Dasari, Ar...
- 2020
Indeed, recent papers have shown that individuals use ordinal rank position, in addition to relative position, to make comparisons with others and that these positions affect happiness and job satisfaction (Brown et al., 2008; Card et al., 2012).
- Richard Murphy, Felix Weinhardt
- 2020
May 2, 2020 · We propose that ordinal rank best predicts outcomes when competition is density-dependent, while proportional rank best predicts outcomes when competition is density-independent.
May 2, 2020 · We propose that ordinal rank best predicts outcomes when competition is density-dependent, while proportional rank best predicts outcomes when competition is density-independent. We found that for 75% (15/20) of the traits, one of the two rank metrics performed better than the other.
Sep 9, 2020 · We propose that simple ordinal rank best predicts traits when competition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent. We found that for 75% of traits (15/20), one rank metric performed better than the other.
People also ask
Which rank metric predicts traits when competition is density-independent?
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Is simple ordinal rank a better predictor?
Oct 14, 2016 · Dominance ranks are not static individual attributes, however, but instead are influenced by two independent processes: 1) changes in hierarchy membership and 2) successful challenges of...
