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Earlham College - Fall 2012 | ||
Section 0 | ||
 | Missing Data (Quantitative Applications in the Social Sciences) (1st Edition) by Paul D. Allison (Editor), Paul David Allison, Stephen I. Allison, Douglas A. Luke, Lawrence Marsh, Michael Smithson, Peter Y. Chen, Samuel J. Best, Tamás Rudas, Vani K. Borooah, Brian S. Krueger, David R. Cormier, Paula M. Popovich Paperback, 104 Pages, Published 2001 ISBN-10: 0-7619-1672-5 / 0761916725 ISBN-13: 978-0-7619-1672-7 / 9780761916727 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 an | |