Build better models when you fill in the blanks
When you ignore or exclude missing data, you risk obtaining biased or insignificant results. Use IBM SPSS Missing Values software to impute your missing data and draw more valid conclusions.
With IBM SPSS Missing Values software, you can:
- Overcome missing data issues
- Use multiple imputation to replace missing data
- Build models taking missing data into account Reach more valid conclusions
Reach more valid conclusions
Replace missing values with estimates, and increase the chance of receiving statistically significant results. Remove hidden bias from your data by replacing missing values with estimates to include all groups in your analysis—even those with poor responsiveness.