Missing Data
Paperback or Softback 104 pages Aug 13, 2001
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
Sooner or later anyone who does statistical analysis runs into problems with missing data in which information for some variables is missing for some cases. Why is this a problem? Because most statistical methods presume that every case has information on all the variables to be included in the analysis. Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has been relying on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.
- Author:
- Paul D. Allison
- Publisher:
- Sage Publications, Inc
- Publication Date:
- Aug 13, 2001
- Number of pages:
- 104 pages
- Binding:
- Paperback or Softback
- ISBN-10:
- 0761916725
- ISBN-13:
- 9780761916727