期刊
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
卷 19, 期 3, 页码 399-408出版社
PSYCHOLOGY PRESS
DOI: 10.1080/10705511.2012.687660
关键词
false discovery rate; incomplete data; missing completely at random; multiple testing
A multiple testing procedure for examining implications of the missing completely at random (MCAR) mechanism in incomplete data sets is discussed. The approach uses the false discovery rate concept and is concerned with testing group differences on a set of variables. The method can be used for ascertaining violations of MCAR and disproving this mechanism in empirical behavioral and social research. The procedure can also be employed when locating violations of MCAR in observed measures is of interest. The outlined approach is illustrated with data from a cognitive intervention study.
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