Missing Values Analysis and Data Imputation

by G. David Garson

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