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首页> 外文期刊>The Counseling psychologist >Handling Item-Level Missing Data: Simpler Is Just as Good
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Handling Item-Level Missing Data: Simpler Is Just as Good

机译：处理项目级别的缺失数据：越简单越好

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摘要

The topic of missing data has been receiving increasing attention, with calls to apply advanced methods of handling missingness to counseling psychology research.The present study sought to assess whether advanced methods of handling item-level missing data performed equivalently to simpler methods in designs similar to those counseling psychologists typically engage in. Results of an initial preliminary analysis, an analysis using real-world data, and a series of simulation studies were used in the present investigation. Results indicated that available case analysis, mean substitution, and multiple imputation had similar results across low levels of missing data, though in data with higher levels of missing data and other problems (e.g., small sample size or scales with weak internal reliability) mean substitution produced inflation of correlation coefficients among items. The present results support the use of available case analysis when dealing with low-level item-level missingness.
机译：缺失数据这一主题已受到越来越多的关注，呼吁将先进的处理缺失方法应用于心理咨询研究。本研究旨在评估处理项目级缺失数据的先进方法是否在设计类似于这些咨询心理学家通常都参与。本次调查使用了初步的初步分析结果，使用实际数据的分析结果以及一系列模拟研究。结果表明，在缺失水平较低的数据中，可用案例分析，均值替换和多次插补具有相似的结果，尽管缺失数据水平较高和其他问题（例如，样本量较小或内部可靠性较弱的量表）的均值替换在项目之间产生了相关系数的膨胀。本结果支持在处理低级项目级缺失时使用可用案例分析。

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