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Journal Article

Impact of Criticism of Null‐Hypothesis Significance Testing on Statistical Reporting Practices in Conservation Biology

FIONA FIDLER; MARK A. BURGMAN; GEOFF CUMMING; ROBERT BUTTROSE; NEIL THOMASON
Conservation Biology · Vol. 20, Issue 5 · pp. 1539-1544 · 2006

Abstract

Over the last decade, criticisms of null‐hypothesis significance testing have grown dramatically, and several alternative practices, such as confidence intervals, information theoretic, and Bayesian methods, have been advocated. Have these calls for change had an impact on the statistical reporting practices in conservation biology? In 2000 and 2001, 92% of sampled articles in Conservation Biology and Biological Conservation reported results of null‐hypothesis tests. In 2005 this figure dropped to 78%. There were corresponding increases in the use of confidence intervals, information theoretic, and Bayesian techniques. Of those articles reporting null‐hypothesis testing—which still easily constitute the majority—very few report statistical power (8%) and many misinterpret statistical nonsignificance as evidence for no effect (63%). Overall, results of our survey show some improvements in statistical practice, but further efforts are clearly required to move the discipline toward improved practices.

Bibliographic Information

JournalConservation Biology
PublisherWiley
Publication Date2006-10-01
Publication Year2006
Volume20
Issue5
Pages1539-1544
Document TypeJournal Article
Print ISSN0888-8892
eISSN1523-1739
DOI10.1111/j.1523-1739.2006.00525.x
SubjectConservation Science

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://conbio.onlinelibrary.wiley.com/loi/15231739
Publisher PageOpen Publisher Page
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