Boo Sunjoo, Froelicher Erika Sivarajan
Department of Physiological Nursing, University of California San Francisco, San Francisco, California 94143-0610, USA.
Jpn J Nurs Sci. 2013 Jun;10(1):130-5. doi: 10.1111/j.1742-7924.2012.00213.x. Epub 2012 May 14.
This paper describes the methodological issues associated with secondary analysis of large national survey datasets.
Issues about survey sampling, data collection, and non-response and missing data in terms of methodological validity and reliability are discussed.
Although reanalyzing large national survey datasets is an expedient and cost-efficient way of producing nursing knowledge, successful investigations require a methodological consideration of the intrinsic limitations of secondary survey analysis.
Nursing researchers using existing national survey datasets should understand potential sources of error associated with survey sampling, data collection, and non-response and missing data. Although it is impossible to eliminate all potential errors, researchers using existing national survey datasets must be aware of the possible influence of errors on the results of the analyses.
本文描述了与大型全国性调查数据集二次分析相关的方法学问题。
从方法学的有效性和可靠性方面，讨论了调查抽样、数据收集以及无应答和缺失数据的问题。
尽管重新分析大型全国性调查数据集是产生护理知识的一种便捷且经济高效的方式，但成功的调查需要从方法学角度考虑二次调查分析的内在局限性。
使用现有全国性调查数据集的护理研究人员应了解与调查抽样、数据收集以及无应答和缺失数据相关的潜在误差来源。虽然不可能消除所有潜在误差，但使用现有全国性调查数据集的研究人员必须意识到误差对分析结果可能产生的影响。
