2018
DOI: 10.1016/j.anbehav.2018.03.011
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Isolating bias in association indices

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Cited by 10 publications
(5 citation statements)
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“…Assuming, quite reasonably, that grouping sets the stage for social interactions to occur (Whitehead & Dufault, 1999), such indices are widely used to portray and test social patterns across animal taxa (Farine & Whitehead, 2015;Whitehead, 2008). However, the literal translation of this metric-the proportion of time individuals were seen together-is subjected to sampling biases (Hoppitt & Farine, 2018;Weko, 2018) and overlooks the multiple underlying factors that can cause aggregation (Whitehead & James, 2015). We show that a coarse association measure (HWI) would suggest prevalent social preferences among individual giraffes; that is, many pairs of individuals spend high proportions of time together.…”
Section: Discussionmentioning
confidence: 97%
“…Assuming, quite reasonably, that grouping sets the stage for social interactions to occur (Whitehead & Dufault, 1999), such indices are widely used to portray and test social patterns across animal taxa (Farine & Whitehead, 2015;Whitehead, 2008). However, the literal translation of this metric-the proportion of time individuals were seen together-is subjected to sampling biases (Hoppitt & Farine, 2018;Weko, 2018) and overlooks the multiple underlying factors that can cause aggregation (Whitehead & James, 2015). We show that a coarse association measure (HWI) would suggest prevalent social preferences among individual giraffes; that is, many pairs of individuals spend high proportions of time together.…”
Section: Discussionmentioning
confidence: 97%
“…The prevalence of social relationships among catalogued fin whales was characterized using weighted association indices. We selected the Simple Ratio association Index (SRI, [81]) because 1) we lacked calibration data and 2) the biases inherent to the SRI are more predictable than to an alternative such as the Half-Weight Index (after [82,83]). The stability of social associations was assessed with randomization, in which the individuals within each encounter were shuffled in the dataset, preserving the number of times each individual was seen, and encounter rates for all possible dyads were recorded.…”
Section: Plos Onementioning
confidence: 99%
“…The prevalence and stability of social relationships were characterized using weighted association indices and Lagged Association Rates (LARs). We selected the Simple Ratio association Index (SRI, [ 102 ]) because 1) we lacked calibration data and 2) the biases inherent to the SRI are more predictable than to an alternative such as the Half-Weight Index [ 103 , 104 ]. Based on our fieldwork, we were confident that all adult individuals in groups were identified in nearly all cases, and that exceptions to this were the result of specific circumstances, such as a sudden change in weather, not patterns of certain individuals or social scenarios.…”
Section: Methodsmentioning
confidence: 99%