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Handling Missing Data in Social Research

By Scott M. Lynch, J. Scott Brown

Chapman and Hall/CRC – 2015 – 320 pages

Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Purchasing Options:

  • Hardback: $69.95
    978-1-43-987396-0
    February 26th 2015
    Not yet available

Description

For social scientists, it is often confusing how to determine when missing data is a problem in analyses and how to handle it. This book presents a comprehensive overview of the available methods, focusing on which method should be used for specific problems. It features numerous real and simulated data examples to illustrate how the methods can be applied once the appropriate technique has been determined. It also includes exercises, computer-based problems, and suggestions for further reading. R code and the data sets are available on the book’s website.

Contents

Introduction. Simulation Design. Data-Based Solutions: Listwise Deletion. Data-Based Solutions: Mean/Mode Imputation. Data-Based Solutions: Regression-Based Imputation. Data-Based Solutions: Multiple Imputation. Method/Model-Based Solutions: EM Algorithms.

Name: Handling Missing Data in Social Research (Hardback)Chapman and Hall/CRC 
Description: By Scott M. Lynch, J. Scott Brown. For social scientists, it is often confusing how to determine when missing data is a problem in analyses and how to handle it. This book presents a comprehensive overview of the available methods, focusing on which method should be used for specific...
Categories: Statistics & Computing, Statistical Theory & Methods, Regression Analysis and Multivariate Statistics