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Goodbye, Listwise Deletion: Presenting Hot Deck Imputation as an Easy and Effective Tool for Handling Missing Data

机译:再见,按列表删除:将热插补插值介绍为处理丢失数据的简便有效工具

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Missing data are a ubiquitous problem in quantitative communication research, yet the missing data handling practices found in most published work in communication leave much room for improvement. In this article, problems with current practices are discussed and suggestions for improvement are offered. Finally, hot deck imputation is suggested as a practical solution to many missing data problems. A computational tool for SPSS (Statistical Package for the Social Sciences) is presented that will enable communication researchers to easily implement hot deck imputation in their own analyses.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/19312458.2011.624490
机译:数据丢失是定量通信研究中普遍存在的问题,但是在大多数已出版的通信工作中发现的数据丢失处理做法仍有很大的改进空间。本文讨论了当前实践中存在的问题,并提出了改进建议。最后,建议将热插补插值作为许多丢失数据问题的实用解决方案。提出了一种用于SPSS(社会科学统计软件包)的计算工具,该工具将使通信研究人员能够轻松地在自己的分析中实施热插补插补。查看全文下载全文相关的var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,services_compact ::“ citeulike,netvibes,twitter,technorati,美味,linkedin,facebook,stumbleupon,digg,google,更多”,pubid:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/19312458.2011.624490

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