IBM. IBM SPSS Missing Values 21

SPSS Inc. 1989, 2012. Corporate guide to working with missing values in the "Missing Values" module for IBM SPSS 21.0 - 91 p. in English.Part I: User’s Guide
Introduction to Missing Values
Missing Value Analysis
Displaying Patterns of Missing Values
Displaying Descriptive Statistics for Missing Values
Estimating Statistics and ImputingMissing Values
MVA Command Additional Features
Multiple Imputation
Analyze Patterns
Impute Missing Data Values
MULTIPLE IMPUTATION Command Additional Features
Working with Multiple Imputation Data
Analyzing Multiple Imputation Data
Multiple Imputation Options
Part II: Examples
Missing Value Analysis
Describing the Pattern of MissingData
Running the Analysis to Display Descriptive Statistics
Evaluating the Descriptive Statistics
Rerunning the Analysis to Display Patterns
Evaluating the Patterns Table
Rerunning the Analysis for Little’s MCAR Test
Multiple Imputation
UsingMultiple Imputation to Complete and Analyze a DatasetA Sample Files
B Notices