Missing Data
Book Details
Format
Paperback / Softback
Book Series
Quantitative Applications in the Social Sciences
ISBN-10
0761916725
ISBN-13
9780761916727
Publisher
SAGE Publications Inc
Imprint
SAGE Publications Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 3rd, 2001
Print length
104 Pages
Weight
130 grams
Dimensions
21.60 x 14.20 x 0.60 cms
Product Classification:
Social research & statistics
Ksh 7,400.00
Manufactured on Demand
0 in stock
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Quality
Fast
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 relied 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.
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.
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