XTBG OpenIR  > 其他
Multilevel statistical models and the analysis of experimental data
Jocelyn E. Behm; Devin A. Edmonds; Jason P. Harmon; Anthony R. Ives
2013
Source PublicationEcology
Volume94Issue:7Pages:1479-1486
Abstract

Data sets from ecological experiments can be difficult to analyze, due to lack of independence of experimental units and complex variance structures. In addition, information of interest may lie in complicated contrasts among treatments, rather than direct output from statistical tests. Here, we present a statistical framework for analyzing data sets containing non-independent experimental units and differences in variance among treatments (heteroscedasticity) and apply this framework to experimental data on interspecific competition among three tadpole species. Our framework involves three steps: (1) use a multilevel regression model to calculate coefficients of treatment effects on response variables; (2) combine coefficients to quantify the strength of competition (the target information of our experiment); and (3) use parametric bootstrapping to calculate significance of competition strengths. We repeated this framework using three multilevel regression models to analyze data at the level of individual tadpoles, at the replicate level, and at the replicate level accounting for heteroscedasticity. Comparing results shows the need to correctly specify the statistical model, with the model that accurately accounts for heteroscedasticity leading to different conclusions from the other two models. This approach gives a single, comprehensive analysis of experimental data that can be used to extract informative biological parameters in a statistically rigorous way.




=

 

Document Type期刊论文
Identifierhttp://ir.xtbg.org.cn/handle/353005/4725
Collection其他
Recommended Citation
GB/T 7714
Jocelyn E. Behm,Devin A. Edmonds,Jason P. Harmon,et al. Multilevel statistical models and the analysis of experimental data[J]. Ecology,2013,94(7):1479-1486.
APA Jocelyn E. Behm,Devin A. Edmonds,Jason P. Harmon,&Anthony R. Ives.(2013).Multilevel statistical models and the analysis of experimental data.Ecology,94(7),1479-1486.
MLA Jocelyn E. Behm,et al."Multilevel statistical models and the analysis of experimental data".Ecology 94.7(2013):1479-1486.
Files in This Item: Download All
File Name/Size DocType Version Access License
Multilevel statistic(285KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jocelyn E. Behm]'s Articles
[Devin A. Edmonds]'s Articles
[Jason P. Harmon]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jocelyn E. Behm]'s Articles
[Devin A. Edmonds]'s Articles
[Jason P. Harmon]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jocelyn E. Behm]'s Articles
[Devin A. Edmonds]'s Articles
[Jason P. Harmon]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Multilevel statistical models and the analysis of experimental data.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.