J Clin Nurs. 2012 Oct;21(19-20):2730-5. doi: 10.1111/j.1365-2702.2012.04353.x.
Most nursing research using quantitative empirical data involves entering information collected on data collection forms into a computer. This paper brings to attention issues related to the introduction of errors during this transfer of data and makes some recommendations as to how this might be dealt with.
Beyond concerns with the reliability and validity of data collection instruments, the issue of data accuracy and the introduction of errors in research data sets receive little mention in the nursing research literature. Given that studies have reported up to a 26.9 per cent error rate in data transfer (Goldberg et al. Proceedings American Medical Informatics Association, Annual Symposium November 2008), it is important that this potential problem is addressed in the context of nursing research.
Discursive paper.
An approach to checking the accuracy of data entered onto a computer via the keyboard is suggested, and a method for estimating the level of confidence that could be claimed regarding the number of errors introduced is outlined.
If nursing is to be investigated by quantitative methods, it would seem that the accuracy of study findings is paramount. This paper identifies one area of research where errors are prone to arise and suggests a method for containing these.
大多数使用定量实证数据的护理研究都涉及将在数据收集表上收集的信息输入到计算机中。本文提请注意在数据传输过程中引入错误的相关问题，并就如何处理这些问题提出了一些建议。
除了对数据收集工具的可靠性和有效性的关注外，护理研究文献很少提到研究数据集的数据准确性和引入错误的问题。鉴于研究报告数据传输错误率高达 26.9%（Goldberg 等人，美国医学信息学协会年度研讨会论文集，2008 年 11 月），因此在护理研究中解决这一潜在问题非常重要。
论述性论文。
本文提出了一种通过键盘检查输入到计算机的数据准确性的方法，并概述了一种估计可以声称引入错误数量的置信度水平的方法。
如果要通过定量方法研究护理，那么研究结果的准确性似乎至关重要。本文确定了一个容易出现错误的研究领域，并提出了一种控制这些错误的方法。
