Construct · 1 fields · 1 citations

Little's MCAR test: a standalone construct

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Statistics

a multivariate chi-square test of whether data are missing completely at random, comparing means across missing-data patterns.

In statistics, Little's MCAR test refers to a multivariate chi-square test of whether data are missing completely at random, comparing means across missing-data patterns. This meaning comes from Little (1988) in Journal of the American Statistical Association.[1]

Unit
Recovery means
Measured by

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Nearby constructs

association4 fields · 4 citationsjingle · one word, four constructs chi-square test1 fields · 1 citationsanchor · a standalone construct

References

Little, R. J. A. (1988). A Test of Missing Completely at Random for Multivariate Data with Missing Values. Journal of the American Statistical Association, 83(404), 1198-1202. https://doi.org/10.1080/01621459.1988.10478722

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