Graham, John W., <br/><br/>
Missing data :  analysis and design / 
John W. Graham. 
 - xxiii, 323 pages :  illustrations (some colour) ;  24 cm. 
 - Statistics for social and behavioral sciences. .
 - Statistics for social and behavioral sciences. .
<br/><br/>Includes bibliographical references. 
<br/><br/> Missing Data Theory --  Missing Data Theory --  Analysis of Missing Data --  Multiple Imputation and Basic Analysis --  Multiple Imputation with Norm 2.03 --  Analysis with SPSS (Versions Without MI Module) Following Multiple Imputation with Norm 2.03 --  Multiple Imputation and Analysis with SPSS 17-20 --  Multiple Imputation and Analysis with Multilevel (Cluster) Data --  Multiple Imputation and Analysis with SAS --  Practical Issues in Missing Data Analysis --  Practical Issues Relating to Analysis with Missing Data: Avoiding and Troubleshooting Problems --  Dealing with the Problem of Having Too Many Variables in the Imputation Model --  Simulations with Missing Data --  Using Modern Missing Data Methods with Auxiliary Variables to Mitigate the Effects of Attrition on Statistical Power --  Planned Missing Data Design --  Planned Missing Data Designs I: The 3-Form Design --  Planned Missing Data Design 2: Two-Method Measurement.  Part 1.  Part 2.  Part 3.  Part 4. 
<br/><br/><label>ISBN: </label>1461440173 9781461440178 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Missing observations (Statistics)
<br/><br/><label>LC Class. No.: </label>QA276  / .G7124 2012 
<br/><br/><label>Dewey Class. No.: </label>519.5