Analyses of multivariate data are frequently hampered by missing values. Until recently, the
only missing-data methods available to most data analysts have been relatively ad1 hoc …

Analyses of multivariate data are frequently hampered by missing values. Until recently, the
only missing-data methods available to most data analysts have been relatively ad hoc …

Analyses of multivariate data are frequently hampered by missing values. Until recently, the
only missing-data methods available to most data analysts have been relatively ad1 hoc …

Analyses of multivariate data are frequently hampered by missing values. Until recently, the
only missing-data methods available to most data analysts have been relatively ad hoc …

Analyses of multivariate data are frequently hampered by missing values. Until recently, the
only missing-data methods available to most data analysts have been relatively ad1 hoc …

The key ideas of multiple imputation for multivariate missing data problems are reviewed.
Software programs available for this analysis are described, and their use is illustrated with …

ERIC - EJ580833 - Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's
Perspective., Multivariate Behavioral Research, 1998 NotesFAQContact Us ERIC - Institute …

Analyses of multivariate data are frequently hampered by missing values. Until recently, the
only missing-data methods available to most data analysts have been relatively ad hoc …

The key ideas of multiple imputation for multivariate missing data problems are reviewed.
Software programs available for this analysis are described, and their use is illustrated with …