| Publisher | SPSS | ||
|---|---|---|---|
| Format | Date added | 01 Jun 2009 | |
| Topics | Knowledge and Data Management, Programming Languages, Data Mining - Analysis, Data Visualization, Database Management | ||
| Downloads | 10 | ||
Just about everyone doing analysis has some missing data, especially survey researchers, market researchers, database analysts, researchers and social scientists. Missing data includes questions without answers or variables without observations. Even a small percent of missing data can cause serious problems with your analysis leading you to draw wrong conclusions. This white paper presents a case study demonstrating how missing data can affect your analysis and the decisions you make based on your results. It uses PASW Missing Values to overcome a missing data problem to make better decisions.
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