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ERIC Number: EJ978547
Record Type: Journal
Publication Date: 2012
Pages: 10
Abstractor: As Provided
ISSN: ISSN-1070-5511
Examining the Missing Completely at Random Mechanism in Incomplete Data Sets: A Multiple Testing Approach
Raykov, Tenko; Lichtenberg, Peter A.; Paulson, Daniel
Structural Equation Modeling: A Multidisciplinary Journal, v19 n3 p399-408 2012
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. (Contains 2 tables and 2 footnotes.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Raven Advanced Progressive Matrices