公共卫生类核心期刊论文常见单因素统计推断问题调查与分析

目的 了解公共卫生领域核心期刊论文的单因素统计推断问题的发生情况,提出对策建议,为降低文章单因素统计推断错误发生率,提高文章质量提供参考。方法 采用目的抽样选取四种公共卫生领域期刊,检索其2019年度刊登的全部文章,对文章逐篇阅读并记录、分析其单因素统计推断应用情况。结果 本次研究共调查2023篇文章,最终纳入1139篇文章,出现单因素统计推断错误的文章共53篇,单因素统计推断错误率达4.65%,主要错误类型为资料不满足正态性和（或）方差齐性误用t检验或方差分析、理论频数太小误用x2检验、重复测量资料误用成组t检验等。结论 公共卫生类期刊论文单因素统计推断应用正确率有待提高,研究者、编辑、审稿专家及期刊编辑部应加强统计学知识学习,把握论文发表各环节,以促进公共卫生领域期刊论文质量的提高。

Investigation and analysis of common single factor statistical inference problems in public health core journals

Objective To understand the situation of single factor statistical inference problems in public health core journals, to make the corresponding solutions which can provide reference for reducing the incidence of single factor statistical inference errors in articles, and to improve the quality of articles. Methods Four journals in the field of public health were chosen bypurpose sampling, and all articles published in 2019 were retrieved manually, then the applications of single factor statistical inference in articles were read, recorded and analyzed. Results A total of 2023 articles were investigated in this study, and 1 139 articles were finally included. A total of 53 articles were found to have errors in single factor statistical inference, and the incidence of single factor statistical inference errors was4.65% in this investigation, the main error types were t-test or ANOVA for misuse of data that did not meet the requirements of normality and/or homogeneity of variance, chi-square test for misuse of data whose theoretical frequency was too small, t-test for misuse of repeated measurement data, etc.Conclusion The accuracy of single factor statistical inference in public health journals needs to be improved. Researchers, editors, reviewers and journal editorial departments should strengthen the study of statistical knowledge and grasp every link of paper publication, so as to improve the quality of journal papers in the field of public health.