COMPARISON OF TYPE I ERROR RATES FOR STATISTICAL ANALYSES OF RESOURCE SELECTION

By R. Bingham, L. Brennan. 2004

151 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/1e293c1fd96c7b6afcf1ad935725b1a0054f08ee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Mark Hebblewhite
2. E. J. Taylor
3. E. Schauber
4. Dana L. Thomas
5. S. Prange
6. J. Beasley
7. S. Gehrt
8. C. Nielsen

In Economics and Econometrics

1. Mark Hebblewhite
2. Scott E. Nielsen
3. E. J. Taylor
4. Dana L. Thomas
5. S. Gehrt
6. R. Arlettaz
7. S. Prange
8. A. Britschgi

Citations in the corpus

• Evaluation of a Global Positioning System Backpack Transmitter for Wild Turkey Research (2011, background): “New techniques are required to identify habitat selection at the local scale, especially for evaluating phenological changes in habitat use between breeding and non-breeding seasons (Bingham and Brennan 2004).”
• Space Use and Survival of White-Tailed Deer in an Exurban Landscape (2007, background): “Bingham and Brennan (2004) found that the substitution of arbitrarily small, nonzero values for 0% habitat use-values led to unacceptably high Type I error rates in compositional analysis.”
• Application of random effects to the study of resource selection by animals. (2006, background): “Unfortunately, compositional analysis is limited by increased Type I error rates from rare habitats ( Bingham & Brennan 2004 ).”
• Impact of grassland farming intensification on the breeding ecology of an indicator insectivorous passerine, the Whinchat Saxicola rubetra: Lessons for overall Alpine meadowland management (2006, methodology): “If applied to the used matrix, this procedure is recognized to increase the type I error ( Bingham and Brennan, 2004 ), but since there were no invertebrate groups in the available matrix that were never used by the birds, the analysis is considered both robust and appropriate.”
• A Hierarchical Analysis of Habitat Selection by Raccoons in Northern Indiana (2007, background): “Bingham and Brennan (2004) suggested that a substitution value between 0.003 and 0.007 minimized the Type I error rate in compositional analysis; therefore, we replaced all missing habitats within sex by season categories with a value of 0.003.”
• Interference competition between coyotes and raccoons: a test of the mesopredator release hypothesis (2007, methodology): “Type I error rate for MANOVAs significant at P , 0.001 and having a replacement value of 0.007 was only 2.5% ( Bingham and Brennan 2004; based on 5 habitat types, 30 animals with 30 observations).”
• Study Designs and Tests for Comparing Resource Use and Availability II (2006, methodology): “Bingham and Brennan (2004) examined chisquare goodness-of-fit, compositional analysis, and distance-tohabitat types with respect to type I error rates and found that compositional analysis performed poorly when available habitats that were not used by animals were included in the analysis.”