THE OCCURRENCE OF MISSING DATA IN SURVEYS

Wioleta Zdebska
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Abstract

The purpose of this article is to discuss issues related to the analysis of missing data. Why do missing data occur in a data set? What percentage of the collected data constitutes missing data? What is the nature of missing data that emerges during data collection? The above questions are extremely important in assessing conducted surveys or in evaluating the quality of the collected data. A lack of reflection on the aspects mentioned above may lead to false conclusions and recommendations. This article presents not only an overview of the literature regarding missing data, but also shows how in a practical way an analysis of the randomness of missing data can be performed. The analysis presented in the article is based on data collected as part of the Polish General Social Survey carried out in 2008. The main recommendation of the author is to conduct an analysis of the randomness of missing data before analyzing the collected data.
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调查中数据缺失的情况
本文的目的是讨论与缺失数据分析相关的问题。为什么数据集中会出现缺失数据?收集的数据中有多少百分比构成缺失数据?在数据收集过程中出现的缺失数据的本质是什么?上述问题在评估所进行的调查或评估所收集数据的质量时极为重要。对上述各方面缺乏反思可能导致错误的结论和建议。本文不仅概述了关于缺失数据的文献,而且还展示了如何以实际的方式对缺失数据的随机性进行分析。文章中提出的分析是基于2008年波兰综合社会调查收集的数据。作者的主要建议是在分析收集到的数据之前,先对缺失数据的随机性进行分析。
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发文量
15
审稿时长
17 weeks
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