A Review of Statistical Reporting in Dietetics Research (2010-2019): How is a Canadian Journal Doing?

Can J Diet Pract Res. 2021 Jun 1;82(2):59-67. doi: 10.3148/cjdpr-2021-005. Epub 2021 Apr 20.

Abstract

Despite the widespread use of statistical techniques in quantitative research, methodological flaws and inadequate statistical reporting persist. The objective of this study is to evaluate the quality of statistical reporting and procedures in all original, quantitative articles published in the Canadian Journal of Dietetic Practice and Research (CJDPR) from 2010 to 2019 using a checklist created by our research team. In total, 107 articles were independently evaluated by 2 raters. The hypothesis or objective(s) was clearly stated in 97.2% of the studies. Over half (51.4%) of the articles reported the study design and 57.9% adequately described the statistical techniques used. Only 21.2% of the studies that required a prestudy sample size calculation reported one. Of the 281 statistical tests conducted, 88.3% of them were correct. P values >0.05-0.10 were reported as "statistically significant" and/or a "trend" in 11.4% of studies. While this evaluation reveals both strengths and areas for improvement in the quality of statistical reporting in CJDPR, we encourage dietitians to pursue additional statistical training and/or seek the assistance of a statistician. Future research should consider validating this new checklist and using it to evaluate the statistical quality of studies published in other nutrition journals and disciplines.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Canada
  • Dietetics*
  • Humans
  • Nutritionists*
  • Research Design