| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2013-08-06 |
| タイトル |
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タイトル |
Changing philosophies and tools for statistical inferences in behavioral ecology |
| タイトル |
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タイトル |
Changing philosophies and tools for statistical inferences in behavioral ecology |
|
言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
metadata only access |
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アクセス権URI |
http://purl.org/coar/access_right/c_14cb |
| 著者 |
GARAMSZEGI, László Zsolt
CALHIM, Sara
DOCHTERMANN, Ned
HEGYI, Gergely
HURD, Peter L
JøRGENSEN, Christian
KUTSUKAKE, Nobuyuki
LAJEUNESSE, Marc J
POLLARD, Kimberly A
SCHIELZETH, Holger
SYMONDS, Matthew R.E.
NAKAGAWA, Shinichi
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| 著者別名 |
沓掛, 展之
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Recent developments in ecological statistics have reached behavioral ecology, and an increasing number of studies now apply analytical tools that incorporate alternatives to the conventional null hypothesis testing based on significance levels. However, these approaches continue to receive mixed support in our field. Because our statistical choices can influence research design and the interpretation of data, there is a compelling case for reaching consensus on statistical philosophy and practice. Here, we provide a brief overview of the recently proposed approaches and open an online forum for future discussion (https://bestat.ecoinformatics.org/). From the perspective of practicing behavioral ecologists relying on either correlative or experimental data, we review the most relevant features of information theoretic approaches, Bayesian inference, and effect size statistics. We also discuss concerns about data quality, missing data, and repeatability. We emphasize the necessity of moving away from a heavy reliance on statistical significance while focusing attention on biological relevance and effect sizes, with the recognition that uncertainty is an inherent feature of biological data. Furthermore, we point to the importance of integrating previous knowledge in the current analysis, for which novel approaches offer a variety of tools. We note, however, that the drawbacks and benefits of these approaches have yet to be carefully examined in association with behavioral data. Therefore, we encourage a philosophical change in the interpretation of statistical outcomes, whereas we still retain a pluralistic perspective for making objective statistical choices given the uncertainties around different approaches in behavioral ecology. We provide recommendations on how these concepts could be made apparent in the presentation of statistical outputs in scientific papers. |
| 書誌情報 |
Behavioral Ecology
en : Behavioral Ecology
巻 20,
号 6,
p. 1363-1375,
発行日 2009
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| 出版者 |
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出版者 |
Oxford University Press |
| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
10452249 |
| DOI |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1093/beheco/arp137 |
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関連名称 |
10.1093/beheco/arp137 |
| 権利 |
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権利情報 |
© The Author 2009. |
