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Missing Values Analysis and Data Imputation

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An illustrated tutorial and introduction to missing values analysis and data imputtion using SPSS, SAS, and Stata. Suitable for introductory graduate-level study.The 2015 edition is a major update to the 2012 edition. Among the new features are * Was 40 pages with 25 figures, now 113 pages with 51 figures * Now covers Stata and SAS as well as SPSS * Totally revised throughout * New coverage comparing MI and EM estimation methods * New coverage on testing for MI convergence * New coverage on exploratory testing for missing at random * New section on when MI should not be used * Twelve FAQ sections * Links to all datasets used in the text.

124 pages, Kindle Edition

First published January 12, 2013

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G. David Garson

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