num_pages: 104
description: 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.   
language: English
title: Missing Data
titlecomplete: Missing Data (Quantitative Applications in the Social Sciences)
genres: Read For School, Nonfiction
ratings_count: 26
publisher: SAGE Publications, Inc