Four principles for improved statistical ecology by Gordana Popovic, Tanya Jane Mason, Szymon Marian Drobniak, Tiago André Marques, Joanne Potts, Rocío Joo, Res Altwegg, Carolyn Claire Isabelle Burns, Michael Andrew McCarthy, Alison Johnston, Shinichi Nakagawa, Louise McMillan, Kadambari Devarajan, Patrick Leo Taggart, Alison Wunderlich, Magdalena M. Mair, Juan Andrés Martínez‐Lanfranco, Malgorzata Lagisz, Patrice Pottier

“…Originating from a discussion at the 2020 International Statistical Ecology Conference, we show how ecologists can build their research following four guiding principles for impactful statistical research practices: (1) define a focussed research question, then plan sampling and analysis to answer it; (2) develop a model that accounts for the distribution and dependence of your data; (3) emphasise effect sizes to replace statistical significance with ecological relevance; and (4) report your methods and findings in sufficient detail so that your research is valid and reproducible. …”
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