Missing Data Analysis and Design /

• Κύριος συγγραφέας: Graham, John W. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2012.
• Σειρά: Statistics for Social and Behavioral Sciences
• Θέματα: Statistics.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Statistics, general.; Statistics for Life Sciences, Medicine, Health Sciences.

Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences.  Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking.  The objective of Missing Data: Analysis and Desig...

Πίνακας περιεχομένων:

• Missing Data Theory
• Multiple Imputation and Basic Analysis
• Practical Issues in Missing Data Analysis
• Planned Missing Data Design.