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Missing data : a gentle introduction /

While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the diffe...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: McKnight, Patrick E.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Guilford Press, ©2007.
Colección:Methodology in the social sciences.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Missing data :  |b a gentle introduction /  |c Patrick E. McKnight [and others]. 
260 |a New York :  |b Guilford Press,  |c ©2007. 
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504 |a Includes bibliographical references (pages 229-236) and indexes. 
505 0 |a A gentle introduction to missing data -- Consequences of missing data -- Classifying missing data -- Preventing missing data by design -- Diagnostic procedures -- The selection of data analytic procedures -- Data deletion methods for handling missing data -- Data augmentation procedures -- Single imputation procedures -- Multiple imputation -- Reporting missing data and results -- Epilogue. 
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520 |a While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study?s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study resu. 
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