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Methodological Requirements on Empirical Research Papers

机译:实证研究论文的方法要求

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Although most research method textbooks provide very good coverage of key elements of empirical studies, but we still see many papers that are published with incomplete methodological information. In a recent seminar meeting with doctoral students, we found a paper published with no information about how the key dependent variable was measured (not even mentioning whether it’s binary or on an interval scale). Except for this missing information, the paper looks perfect, reasonable theories, adequate sample size, excellent model fits, PLS analysis with reasonable justification, significant of most hypotheses except a minor one. Unfortunately, without knowing how the dependent variable was measured, we could not assess whether the research method was appropriate; nor the meaning of the effect sizes in the structural equation model. Embarrassingly, I had to explain why this paper was accepted and published in a reasonably good journal with no reviewer paid attention to the measurement of the dependent variable. In my own experience, there are quite a few other problems such as missing sample size, mismatch between tables and associated texts, etc.. These occur not only in low quality journal papers.
机译:尽管大多数研究方法教科书都很好地涵盖了实证研究的关键要素,但是我们仍然看到许多发表的方法论信息不完整的论文。在最近一次与博士生的研讨会上,我们发现发表了一篇论文,其中没有关于如何测量关键因变量的信息(甚至没有提及它是二进制的还是区间量表的)。除了缺少这些信息外,本文看起来是完美的,合理的理论,足够的样本量,出色的模型拟合,具有合理理由的PLS分析,除次要假设以外的大多数假设都具有重要意义。不幸的是,在不知道如何测量因变量的情况下,我们无法评估研究方法是否合适。在结构方程模型中也没有影响大小的含义。令人尴尬的是,我不得不解释为什么本文被接受并发表在合理的期刊上,而没有评论者关注因变量的度量。以我自己的经验,还有很多其他问题,例如缺少样本大小,表格与相关文本之间的不匹配等。这些问题不仅发生在低质量的期刊论文中。

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