Applied Survey Data Analysis Chapman & Hall Statistics Social Behavioral Sci
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Applied Survey Data Analysis Chapman & Hall Statistics Social Behavioral Sci
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Specifiche dell'oggetto
- Condizione
- Book Title
- Applied Survey Data Analysis (Chapman & Hall/CRC Statistics in th
- ISBN
- 9781498761604
Informazioni su questo prodotto
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1498761607
ISBN-13
9781498761604
eBay Product ID (ePID)
234300935
Product Key Features
Number of Pages
568 Pages
Language
English
Publication Name
Applied Survey Data Analysis
Publication Year
2016
Subject
Probability & Statistics / General, Research, Statistics
Features
New Edition
Type
Textbook
Subject Area
Mathematics, Social Science
Series
Chapman and Hall/Crc Statistics in the Social and Behavioral Sciences Ser.
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
34.6 Oz
Item Length
9.5 in
Item Width
6.5 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2016-050459
Reviews
"Anyone analyzing survey data, even once, should have a copy of this book. The book has something for everyone. It is a solid, yet accessible introduction to analyzing data from complex sample surveys (i.e., those with stratification and clustering), a statistical text of the highest caliber, and a reference for experienced analysts and statisticians. The authors are masterful instructors on the topic, and leaders in the field of survey methodology at the University of Michigan's world-renowned Institute for Social Research and Survey Research Center. Their profound understanding of the topic, and talent for describing it shines through vividly in the text. One of my favorite parts remains section 1.2 "A Brief History of Applied Survey Data Analysis", which is split into "Key Theoretical Developments" and "Key Software Developments". The historical context provided in those sections helps motivate the technical material that follows. My other favorite parts of this book are the presentations of analysis code and output from various programs, and their "Theory Boxes", which tie specific analysis steps and code to the statistical theory behind them. Among the numerous updates to this edition, I think readers will find the new content on model diagnostics and testing goodness-of-fit (GOF) to be extremely helpful, as this is an area of complex sample survey analysis that can be difficult to translate from standard regression analysis. Throughout, the authors make it a point to describe analyses in discrete steps that can help direct even the most complex analyses." -- Matt Jans , Senior Associate/Scientist, Abt Associates "This is an excellent book to use for a graduate level applied statistics course teaching public health students how to analyze complex survey data. Each chapter is clearly written with a nice balance of theoretical background and practical guidance on survey data analytical issues as illustrated by many relevant real-data examples., "This second edition is well written, organized, and also adds a new chapter on longitudinal complex sample survey data. This book is full of real data examples from several different analysis programs. It will be an excellent reference with 13 structured chapters giving an overview, basic structures and ideas, and real applications. Faculty, researchers, and graduate students working in survey data research and consulting could reasonably adopt this book as an introduction to survey knowledge and practical analysis skills from beginner to expert." --Yoonsung Jung, Research Scientist/Statistician, Prairie View A&M University Praise for the first edition: "...the authors do an admirable job of striking a balance between statistical theory and practical advice and analysis. The authors provide excellent coverage of each aspect of the survey analysis process ... This book is an excellent general resource and if the reader is left wanting on a topic the authors never fail to provide an ample set of citations and references to a wide variety of notable texts on the topic in question. ... an excellent and helpful addition to the desk of any analyst, researcher, or student with a general background in statistics who is dealing with the special challenges and demands of complex survey data." --Gregory Holyk, Journal of Official Statistics, Vol. 27, 2011 "Overall, the book is clearly written and easy to follow, and well equipped with real data examples and a book website. The program codes used in the example are also available, mostly written in Stata. I like the presentations with real survey examples and, in particular, the unified four-step approach to the regression analysis in different models. Anyone working on survey data analysis would find the book very helpful and instructive. The book website seems to be a good complement, with additional resources on this book." --Jae-Kwang Kim, The American Statistician, November 2011 "The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. ... It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. ... it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. ..." --E.C. Abraham, AQMeNtion Newsletter, April 2011 "... there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject." --International Statistical Review(2010), 78, 3, Praise for the first edition: "...the authors do an admirable job of striking a balance between statistical theory and practical advice and analysis. The authors provide excellent coverage of each aspect of the survey analysis process ... This book is an excellent general resource and if the reader is left wanting on a topic the authors never fail to provide an ample set of citations and references to a wide variety of notable texts on the topic in question. ... an excellent and helpful addition to the desk of any analyst, researcher, or student with a general background in statistics who is dealing with the special challenges and demands of complex survey data." --Gregory Holyk, Journal of Official Statistics, Vol. 27, 2011 "Overall, the book is clearly written and easy to follow, and well equipped with real data examples and a book website. The program codes used in the example are also available, mostly written in Stata. I like the presentations with real survey examples and, in particular, the unified four-step approach to the regression analysis in different models. Anyone working on survey data analysis would find the book very helpful and instructive. The book website seems to be a good complement, with additional resources on this book." --Jae-Kwang Kim, The American Statistician, November 2011 "The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. ... It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. ... it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. ..." --E.C. Abraham, AQMeNtion Newsletter, April 2011 "... there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject." --International Statistical Review(2010), 78, 3
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
001.42
Table Of Content
Preface Applied Survey Data Analysis: An Overview Getting to Know the Complex Sample Design Foundations and Techniques for Design-based Estimation and Inference Preparation for Complex Sample Survey Data Analysis Descriptive Analysis for Continuous Variables Categorical Data Analysis Linear Regression Models Logistic Regression and Generalized Linear Models for Binary Survey Variables Generalized Linear Models for Multinomial, Ordinal and Count Variables Survival Analysis of Event History Survey Data Analysis of Longitudinal Complex Sample Survey Data Imputation of Missing Data: Practical Methods and Applications for Survey Analysts Advanced Topics in the Analysis of Survey Data Appendix A: Software Overview
Edition Description
New Edition
Synopsis
Highly recommended by the Journal of Official Statistics , The American Statistician , and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book's updated website., This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.
LC Classification Number
HA29.H428 2017
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- _***m (194)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoGreat packaging quick shipping and great price item came as described highly recommended to purchase from the seller
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