The analysis of ordinal response data in the behavioural sciences

The analysis of ordinal response data in the behavioural sciences ANIMAL BEHAVIOUR, 1998, 56, 1041­1043 Article No. ar980895 DAVID L. THOMSON*, ROBERT W. FURNESS & PAT MONAGHAN *British Trust for Ornithology, The Nunnery, Thetford, Norfolk Ornithology Group, Institute of Biomedical and Life Sciences, University of Glasgow (Received 10 March 1998; initial acceptance 22 April 1998; final acceptance 11 May 1998; MS. number: SC-1133) o often in behavioural research, we find ourselves with response data of an ordinal nature that cannot easily be analysed in conventional ways. Key behavioural variables such as the quality of individuals may be measured using subjective assessments of plumage brightness, the size or brightness of wattles, muscle condition, body fat scores or territory quality indicators. Behavioural states may be assessed by scoring aggressive, courtship or parental behaviour. Behaviours or breeding sites may be scored subjectively as very risky, risky, intermediate or safe. Positions within a group of foraging or roosting animals may be categorized as peripheral, semiperipheral, semicentral or central. Many key life-history variables involve counting the number of offspring produced (the clutch size or the litter size, the number of chicks hatched or fledged, or the number of pups weaned) and for many organisms, particularly warm-blooded vertebrates, these numbers can take only a http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Animal Behaviour Elsevier

The analysis of ordinal response data in the behavioural sciences

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Publisher
Elsevier
Copyright
Copyright © 1998 The Association for the Study of Animal Behaviour
ISSN
0003-3472
eISSN
1095-8282
D.O.I.
10.1006/anbe.1998.0895
Publisher site
See Article on Publisher Site

Abstract

ANIMAL BEHAVIOUR, 1998, 56, 1041­1043 Article No. ar980895 DAVID L. THOMSON*, ROBERT W. FURNESS & PAT MONAGHAN *British Trust for Ornithology, The Nunnery, Thetford, Norfolk Ornithology Group, Institute of Biomedical and Life Sciences, University of Glasgow (Received 10 March 1998; initial acceptance 22 April 1998; final acceptance 11 May 1998; MS. number: SC-1133) o often in behavioural research, we find ourselves with response data of an ordinal nature that cannot easily be analysed in conventional ways. Key behavioural variables such as the quality of individuals may be measured using subjective assessments of plumage brightness, the size or brightness of wattles, muscle condition, body fat scores or territory quality indicators. Behavioural states may be assessed by scoring aggressive, courtship or parental behaviour. Behaviours or breeding sites may be scored subjectively as very risky, risky, intermediate or safe. Positions within a group of foraging or roosting animals may be categorized as peripheral, semiperipheral, semicentral or central. Many key life-history variables involve counting the number of offspring produced (the clutch size or the litter size, the number of chicks hatched or fledged, or the number of pups weaned) and for many organisms, particularly warm-blooded vertebrates, these numbers can take only a

Journal

Animal BehaviourElsevier

Published: Oct 1, 1998

References

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