Literature DB >> 3328215

Hypothesis testing in ecology: psychological aspects and the importance of theory maturation.

C Loehle1.   

Abstract

Proper hypothesis testing is the subject of much debate in ecology. According to studies in cognitive psychology, confirmation bias (a tendency to seek confirming evidence) and theory tenacity (persistent belief in a theory in spite of contrary evidence) pervasively influence actual problem solving and hypothesis testing, often interfering with effective testing of alternative hypotheses. On the other hand, these psychological factors play a positive role in the process of theory maturation by helping to protect and nurture a new idea until it is suitable for critical evaluation. As a theory matures it increases in empirical content and its predictions become more distinct. Efficient hypothesis testing is often not possible when theories are in an immature state, as is the case in much of ecology. Problem areas in ecology are examined in light of these considerations, including failure to publish negative results, misuses of mathematical models, confusion resulting from ambiguous terms (such as "diversity" and "niche"), and biases against new ideas.

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Year:  1987        PMID: 3328215     DOI: 10.1086/415619

Source DB:  PubMed          Journal:  Q Rev Biol        ISSN: 0033-5770            Impact factor:   4.875


  11 in total

1.  Cumulative meta-analysis: a new tool for detection of temporal trends and publication bias in ecology.

Authors:  Roosa Leimu; Julia Koricheva
Journal:  Proc Biol Sci       Date:  2004-09-22       Impact factor: 5.349

2.  Inventory, differentiation, and proportional diversity: a consistent terminology for quantifying species diversity.

Authors:  Gerald Jurasinski; Vroni Retzer; Carl Beierkuhnlein
Journal:  Oecologia       Date:  2008-10-25       Impact factor: 3.225

3.  The seven deadly sins and the three poisons: A commentary on barriers to environmental information.

Authors:  P A Keddy
Journal:  Environ Monit Assess       Date:  1992-03       Impact factor: 2.513

Review 4.  Learning from single extreme events.

Authors:  Res Altwegg; Vernon Visser; Liam D Bailey; Birgit Erni
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-06-19       Impact factor: 6.237

5.  Island-sharing by archipelago species.

Authors:  Alan Roberts; Lewis Stone
Journal:  Oecologia       Date:  1990-07       Impact factor: 3.225

6.  "Positive" results increase down the Hierarchy of the Sciences.

Authors:  Daniele Fanelli
Journal:  PLoS One       Date:  2010-04-07       Impact factor: 3.240

Review 7.  Why are we not evaluating multiple competing hypotheses in ecology and evolution?

Authors:  Gustavo S Betini; Tal Avgar; John M Fryxell
Journal:  R Soc Open Sci       Date:  2017-01-11       Impact factor: 2.963

8.  Why Hypothesis Testers Should Spend Less Time Testing Hypotheses.

Authors:  Anne M Scheel; Leonid Tiokhin; Peder M Isager; Daniël Lakens
Journal:  Perspect Psychol Sci       Date:  2020-12-16

9.  When are hypotheses useful in ecology and evolution?

Authors:  Matthew G Betts; Adam S Hadley; David W Frey; Sarah J K Frey; Dusty Gannon; Scott H Harris; Hankyu Kim; Urs G Kormann; Kara Leimberger; Katie Moriarty; Joseph M Northrup; Ben Phalan; Josée S Rousseau; Thomas D Stokely; Jonathon J Valente; Chris Wolf; Diego Zárrate-Charry
Journal:  Ecol Evol       Date:  2021-03-25       Impact factor: 2.912

10.  Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC.

Authors:  Brian Dennis; José Miguel Ponciano; Mark L Taper; Subhash R Lele
Journal:  Front Ecol Evol       Date:  2019-10-21
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