Planned Missing Data Designs for Developmental Researchers
Planned Missing Data Designs for Developmental Researchers
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DOI：
10.1111/cdep.12043
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发表时间：
2013-12-01
影响因子：
6.4
通讯作者：
Rhemtulla, Mijke
中科院分区：
文献类型：
--
作者：
Little, Todd D.;Rhemtulla, Mijke
计划缺失数据设计允许研究人员通过随机分配参与者在调查中缺失项目（多形式设计）或在纵向设计中缺失测量场合（波浪缺失设计）或通过对较大数据集的一个小子样进行密集测量（两种方法测量设计）来收集参与者的不完整数据。当这些设计得到正确实施，并使用现代方法处理缺失时，数据收集的成本会降低（有时会显着降低），参与者负担的减少可能会导致更高的有效性以及更低的计划外缺失数据率。在回顾这些计划缺失的设计时，我们简要描述了正在进行的关于与每个设计相关的偏倚和功效的研究结果。
Planned missing data designs allow researchers to collect incomplete data from participants by randomly assigning participants to have missing items on a survey (multiform designs) or missing measurement occasions in a longitudinal design (wave missing designs) or by administering an intensive measure to a small subsample of a larger dataset (two-method measurement designs). When these designs are implemented correctly and when missingness is dealt with using a modern approach, the cost of data collection is lowered (sometimes dramatically) and reduced participant burden may result in higher validity as well as lower rates of unplanned missing data. In reviewing these planned missing designs, we briefly describe results of ongoing research on bias and power associated with each.