SPSS Missing Value Analysis™ 16.0

Create Higher-value Data and Build Better Models When You Estimate Missing Data

Use SPSS Missing Value Analysis to make better decisions about your data prior to analysis. With it, you can easily examine data using one of six diagnostic reports to uncover missing data patterns. You can then estimate summary statistics and impute missing values through regression or expectation maximization algorithms (EM algorithms). SPSS Missing Value Analysis helps you to:

• Diagnose if you have a serious missing data imputation problem
• Replace missing values with estimates, for example, impute your missing data with regression or EM algorithms

SPSS Missing Value Analysis, an SPSS add-on module, is a critical tool for anyone concerned about data validity, including survey researchers, social scientists, data miners, and market researchers.

Note: Requires the corresponding version of SPSS Base for operation.