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科技论文数据造假的核查策略和统计学方法验证
Strategies for discerning data fraud in scientific papers and statistical verification
【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。
【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;
- 【文献出处】 中国科技期刊研究 ,Chinese Journal of Scientific and Technical Periodicals , 编辑部邮箱 ,2021年06期
- 【分类号】G232
- 【被引频次】6
- 【下载频次】639