Persistent Controversy in Statistical Approaches in Wildlife Sciences: A Perspective of Students

• Published in: The Journal of wildlife management Vol. 71; no. 7; pp. 2142 - 2144
• Main Authors: BUTCHER, JERROD A, GROCE, JULIE E, LITUMA, CHRISTOPHER M, COCIMANO, M. CONSTANZA, SÁNCHEZ-JOHNSON, YARA, CAMPOMIZZI, ANDREW J, POPE, THERESA L, REYNA, KELLY S, KNIPPS, ANNA C. S
• Format: Journal Article
• Language: English
• Published: Oxford, UK The Wildlife Society 01.09.2007; Blackwell Publishing Ltd
• Subjects: academia; Academic advising; Applied statistics; Bayesian; Critical thinking; Ecological research; Ecologists; Ecology; education; Educational statistics; Fisheries science; frequentist; Graduate students; Learning; Null hypothesis; null hypothesis statistical testing; Research projects; Scientists; Statistical analysis; Statistical methods; statistics; Student Voices; Students; Studies; Wildlife; Wildlife ecology; Wildlife management
• ISSN: 0022-541X; 1937-2817
• DOI: 10.2193/2007-201

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.