This article provides recommendations for statistical reporting in a research journal article. Appropriate and informative reporting, and the wise use of statistical design and analysis throughout the research process, are both essential to good science; neither can happen without the other. In addition, many journals now require access to original data and the code used for analyses. This article is not a statistics tutorial; we do not explain how to do any of the statistical methods mentioned. There are many, many papers and books that provide that information; some are cited in our reference and selected reading section. Instead, we give guidelines for horticultural scientists on how best to incorporate and present statistical information in a scientific paper. We also focus on experimental rather than observational studies. To do the latter justice would require greatly expanding this article, and the majority of papers published by the American Society for Horticultural Scientists are experimental studies. A very useful complementary article is by Onofri et al. (2010), which gives specific advice for many issues we treat only generally.
This paper is divided into two sections, as follows:
- Section 1. When Are Statistics Needed and What Is the Purpose of Statistics in a Research Paper?
- Section 2. Recommendations for Writing about Statistics in a Research Paper
- What Goes in the Materials and Methods Section?
- What Goes in the Results Section?
- Additional Details and Descriptions about Design, Data Collection, and Analysis
- Pointers for Writing about Statistics for the Horticultural Sciences
- Literature Cited and Selected References
Literature Cited and Selected References
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Kramer, M.H., Paparozzi, E.T. & Stroup, W.W. 2016 Statistics in a horticultural journal: Problems and solutions J. Amer. Hort. Sci. 141 400 406
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