摘要：

【目的】 为帮助期刊编辑使用有效的手段核查论文数据真伪,提出防范论文数据造假的策略。 【方法】 运用统计学方法和原始数据核查,从数据一致性检测、t检验、F检验、卡方检验和生存分析等案例,分析和判断论文数据造假。 【结果】期刊编辑应形成防范学术不端论文审核要点,建立初审工作流程,规范统计学审核步骤,综合判断论文数据真实性。 【结论】 科技期刊应建立健全稿件审核流程,强化编辑审稿过程中的责任意识,避免学术不端论文见刊。

关键词: 学术诚信, 统计学方法, 数据造假, 审核, 验证

Abstract:

[Purposes] To help journal editors efficiently discern data fraud in scientific papers, this paper put forward some strategies. [Methods] Through statistical methods and data tracing, this paper analyzed the cases of identifying data fraud from the perspectives of data consistency test, t-test, F-test, Chi-square test, and survival analysis. [Findings] We should summarize the key points for discerning academic misconducts, establish the process of preliminary examination, and standardize the statistical review, thereby comprehensively preventing data fraud in scientific papers. [Conclusions] Scientific journals should establish a standard process for manuscript review and strengthen editors' sense of responsibility to avoid academic misconducts.

Key words: Academic integrity, Statistical method, Data fraud, Examination, Verification