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Missing data: the hidden problem - Draw more valid conclusions with SPSS Missing Value Analysis

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knowledge and data management

Overview 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.

Further White Paper Details
Publisher	SPSS	File Format	PDF
Date Published	June 2009
Format	White Papers
Topics	Knowledge and Data Management, Programming Languages, Data Mining - Analysis, Data Visualization, Database Management

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knowledge and data management

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Applications
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brands

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