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Persistent Controversy in Statistical Approaches in Wildlife Sciences: A Perspective of Students
Authors:JERROD A BUTCHER  JULIE E GROCE  CHRISTOPHER M LITUMA  M CONSTANZA COCIMANO  YARA SÁNCHEZ-JOHNSON  ANDREW J CAMPOMIZZI  THERESA L POPE  KELLY S REYNA  ANNA C S KNIPPS
Institution:1. Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX 77843, USA

E-mail: jbutcher@tamu.edu;2. Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX 77843, USA

Abstract:ABSTRACT The controversy over the use of null hypothesis statistical testing (NHST) has persisted for decades, yet NHST remains the most widely used statistical approach in wildlife sciences and ecology. A disconnect exists between those opposing NHST and many wildlife scientists and ecologists who conduct and publish research. This disconnect causes confusion and frustration on the part of students. We, as students, offer our perspective on how this issue may be addressed. Our objective is to encourage academic institutions and advisors of undergraduate and graduate students to introduce students to various statistical approaches so we can make well-informed decisions on the appropriate use of statistical tools in wildlife and ecological research projects. We propose an academic course that introduces students to various statistical approaches (e.g., Bayesian, frequentist, Fisherian, information theory) to build a foundation for critical thinking in applying statistics. We encourage academic advisors to become familiar with the statistical approaches available to wildlife scientists and ecologists and thus decrease bias towards one approach. Null hypothesis statistical testing is likely to persist as the most common statistical analysis tool in wildlife science until academic institutions and student advisors change their approach and emphasize a wider range of statistical methods.
Keywords:academia  Bayesian  education  frequentist  null hypothesis statistical testing  statistics
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