Includes bibliographical references (p. 229-236) and indexes.
Contents:
A gentle introduction to missing data -- Consequences of missing data -- Classifying missing data -- Preventing missing data by design -- Diagnostic procedures -- The selection of data analytic procedures -- Data deletion methods for handling missing data -- Data augmentation procedures -- Single imputation procedures -- Multiple imputation -- Reporting missing data and results.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.