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The analysis of contact sampling data
Piet de Jong1, Lonnie W Aarssen2, Roy Turkington2
1Computing Centre, University of British Columbia, V6T. 1W5, Vancouver, B.C., Canada.
Oecologia
|March 18, 2017
Summary
The chi-square statistic is often misapplied to contact sampling for studying species association, leading to biased results. This study presents a corrected analysis method to accurately assess interspecific relationships.
Area of Science:
- Ecology
- Biostatistics
Background:
- Interspecific association studies commonly employ the chi-square statistic.
- Contact sampling is a prevalent method for collecting ecological association data.
Purpose of the Study:
- To identify and rectify the incorrect application of the chi-square statistic in contact sampling.
- To introduce a statistically valid method for analyzing interspecific association using contact sampling data.
Main Methods:
- Critically evaluated the probability arguments underlying the traditional chi-square application in contact sampling.
- Developed and detailed a revised analytical approach to address the identified biases.
Main Results:
- The conventional calculation of expected frequencies in contact sampling leads to significant overestimation.
- This overestimation results in a bias towards detecting negative interspecific associations where none may exist.
Conclusions:
- The standard chi-square approach is inappropriate for contact sampling due to flawed probability assumptions.
- The proposed correct method provides a statistically sound basis for investigating interspecific associations from contact sampling data.
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