Applied Missing Data Analysis Methodology in the Social Sciences eBook Craig K Enders PDF FWG

Applied Missing Data Analysis Methodology in the Social Sciences eBook Craig K Enders Laden Sie das PDF herunter UOY

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Laden Sie das PDF herunter Applied Missing Data Analysis Methodology in the Social Sciences eBook Craig K Enders UOY

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Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website (www.appliedmissingdata.com) includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.

ebook,Craig K. Enders,Applied Missing Data Analysis (Methodology in the Social Sciences),The Guilford Press,Nursing - Research Theory,Statistics,Assessment, Testing Measurement,BUSINESS ECONOMICS,BUSINESS ECONOMICS / Statistics,Business Economics/Statistics,EDUCATION,EDUCATION / Statistics,EDUCATION / Testing Measurement,Education/Statistics,Education/Testing Measurement,Handbook,MAJORS,MEDICAL,MEDICAL / Nursing / Research Theory,Medical/Nursing - Research Theory,Methodology,Missing observations (Statistics),Non-Fiction,Nursing,Nursing - Research Theory,PSYCHOLOGY,PSYCHOLOGY / Assessment, Testing Measurement,PSYCHOLOGY / Statistics,Psychological methodology,Psychology/Assessment, Testing Measurement,Research,Research Theory,SOCIAL SCIENCE,SOCIAL SCIENCE / Statistics,Scholarly/Graduate,Social Science/Methodology,Social Science/Statistics,Social sciences,Social sciences - Research - Methodology,Social sciences - Statistical methods,Social sciences;Research;Methodology.,Social sciences;Statistical methods.,Statistical methods,Statistics,Testing Measurement,United States,bayesian estimation; behavioral sciences; data analysis; maximum likelihood estimation; methodology; missing data; mnar data; multiple imputation; quantitative methods; research methods; social sciences; statistics,bayesian estimation;behavioral sciences;data analysis;maximum likelihood estimation;methodology;missing data;mnar data;multiple imputation;quantitative methods;research methods;social sciences;statistics,BUSINESS ECONOMICS / Statistics,Business Economics/Statistics,EDUCATION / Statistics,EDUCATION / Testing Measurement,Education/Statistics,Education/Testing Measurement,MEDICAL / Nursing / Research Theory,Medical/Nursing - Research Theory,PSYCHOLOGY / Assessment, Testing Measurement,PSYCHOLOGY / Statistics,Psychology/Assessment, Testing Measurement,SOCIAL SCIENCE / Statistics,Social Science/Methodology,Social Science/Statistics,Methodology,Research,Social sciences,Statistical methods,Psychology,Psychological methodology

Applied Missing Data Analysis Methodology in the Social Sciences eBook Craig K Enders Reviews :

Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website (www.appliedmissingdata.com) includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.

ebook,Craig K. Enders,Applied Missing Data Analysis (Methodology in the Social Sciences),The Guilford Press,Nursing - Research Theory,Statistics,Assessment, Testing Measurement,BUSINESS ECONOMICS,BUSINESS ECONOMICS / Statistics,Business Economics/Statistics,EDUCATION,EDUCATION / Statistics,EDUCATION / Testing Measurement,Education/Statistics,Education/Testing Measurement,Handbook,MAJORS,MEDICAL,MEDICAL / Nursing / Research Theory,Medical/Nursing - Research Theory,Methodology,Missing observations (Statistics),Non-Fiction,Nursing,Nursing - Research Theory,PSYCHOLOGY,PSYCHOLOGY / Assessment, Testing Measurement,PSYCHOLOGY / Statistics,Psychological methodology,Psychology/Assessment, Testing Measurement,Research,Research Theory,SOCIAL SCIENCE,SOCIAL SCIENCE / Statistics,Scholarly/Graduate,Social Science/Methodology,Social Science/Statistics,Social sciences,Social sciences - Research - Methodology,Social sciences - Statistical methods,Social sciences;Research;Methodology.,Social sciences;Statistical methods.,Statistical methods,Statistics,Testing Measurement,United States,bayesian estimation; behavioral sciences; data analysis; maximum likelihood estimation; methodology; missing data; mnar data; multiple imputation; quantitative methods; research methods; social sciences; statistics,bayesian estimation;behavioral sciences;data analysis;maximum likelihood estimation;methodology;missing data;mnar data;multiple imputation;quantitative methods;research methods;social sciences;statistics,BUSINESS ECONOMICS / Statistics,Business Economics/Statistics,EDUCATION / Statistics,EDUCATION / Testing Measurement,Education/Statistics,Education/Testing Measurement,MEDICAL / Nursing / Research Theory,Medical/Nursing - Research Theory,PSYCHOLOGY / Assessment, Testing Measurement,PSYCHOLOGY / Statistics,Psychology/Assessment, Testing Measurement,SOCIAL SCIENCE / Statistics,Social Science/Methodology,Social Science/Statistics,Methodology,Research,Social sciences,Statistical methods,Psychology,Psychological methodology

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Product details File Size 10353 KB Print Length 377 pages Publisher The Guilford Press; 1 edition (April 23, 2010) Publication Date April 23, 2010 Sold by  Services LLC Language English ASIN B00H3LDF1A

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