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Author : Philip J. McCarthy
Publisher : Unknown
Page : 52 pages
File Size : 49,5 Mb
Release : 1966
Category : Health surveys
ISBN : IND:30000097778959
Author : Philip J. McCarthy
Publisher : Unknown
Page : 58 pages
File Size : 40,8 Mb
Release : 1966
Category : Health surveys
ISBN : COLUMBIA:HS64664058
Author : Philip J. McCarthy
Publisher : Unknown
Page : 38 pages
File Size : 42,7 Mb
Release : 1966
Category : Analysis of variance
ISBN : OCLC:989678465
Author : Eun Sul Lee,Ronald N. Forthofer
Publisher : SAGE
Page : 108 pages
File Size : 44,7 Mb
Release : 2006
Category : Mathematics
ISBN : 0761930388
In this introduction to the different ways of analysing complex survey data, the authors consider new analytical approaches, review new software and introduce a model-based analysis that can be used for well-designed and relatively small-scale social surveys.
Author : Anonim
Publisher : Unknown
Page : 76 pages
File Size : 53,9 Mb
Release : 1998
Category : Health surveys
ISBN : MINN:31951D01541867R
Author : Jason Newsom,Richard N. Jones,Scott M. Hofer
Publisher : Routledge
Page : 409 pages
File Size : 53,8 Mb
Release : 2013-06-19
Category : Psychology
ISBN : 9781136705465
This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.
Author : Anonim
Publisher : Unknown
Page : 908 pages
File Size : 43,9 Mb
Release : 1985
Category : Census
ISBN : MINN:31951D00293532B
Author : Parimal Mukhopadhyay
Publisher : Springer
Page : 248 pages
File Size : 49,5 Mb
Release : 2016-05-21
Category : Mathematics
ISBN : 9789811008719
The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. The importance of sample surveys today cannot be overstated. From voters’ behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex survey designs like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed – an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades.
Author : Taylor H. Lewis
Publisher : CRC Press
Page : 223 pages
File Size : 52,5 Mb
Release : 2016-09-15
Category : Mathematics
ISBN : 9781315349770
Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the assumptions underlying most traditional statistical techniques, this book equips readers with the knowledge to confidently account for them during the estimation and inference process by employing the SURVEY family of SAS/STAT® procedures. The book offers comprehensive coverage of the most essential topics, including: Drawing random samples Descriptive statistics for continuous and categorical variables Fitting and interpreting linear and logistic regression models Survival analysis Domain estimation Replication variance estimation methods Weight adjustment and imputation methods for handling missing data The easy-to-follow examples are drawn from real-world survey data sets spanning multiple disciplines, all of which can be downloaded for free along with syntax files from the author’s website: http://mason.gmu.edu/~tlewis18/. While other books may touch on some of the same issues and nuances of complex survey data analysis, none features SAS exclusively and as exhaustively. Another unique aspect of this book is its abundance of handy workarounds for certain techniques not yet supported as of SAS Version 9.4, such as the ratio estimator for a total and the bootstrap for variance estimation. Taylor H. Lewis is a PhD graduate of the Joint Program in Survey Methodology at the University of Maryland, College Park, and an adjunct professor in the George Mason University Department of Statistics. An avid SAS user for 15 years, he is a SAS Certified Advanced programmer and a nationally recognized SAS educator who has produced dozens of papers and workshops illustrating how to efficiently and effectively conduct statistical analyses using SAS.
Author : Ronald F. Chamblee,National Center for Health Statistics (U.S.),Marshall C. Evans
Publisher : Unknown
Page : 544 pages
File Size : 52,9 Mb
Release : 1986
Category : Medical
ISBN : UCBK:C005005759
This report describes the characteristics of the TRANSAX (for Translation of AXis) computer software developed by staff of the National Center for Health Statistics to translate multiple cause-of-death data contained on death certificates from a condition (entity) axis of classification to a person (record) axis of classification. This conversion is an essential step in the development of data for meaningful tabulation and analysis. System development, implementation, benefits, features, and applications are discussed.
Author : Anonim
Publisher : Unknown
Page : 256 pages
File Size : 47,6 Mb
Release : 1976
Category : Science
ISBN : MINN:30000010308462
Author : N. Krishnan Namboodiri
Publisher : Elsevier
Page : 391 pages
File Size : 46,5 Mb
Release : 2013-09-03
Category : Reference
ISBN : 9781483270456
Survey Sampling and Measurement contains the invited papers presented at the Second Symposium on Survey Sampling held at Chapel Hill in April 1977. The volume is divided into seven parts. Part I makes a plea towards improving the quality of sample surveys via the creation of a computerized system of information on error estimates associated with the design and execution of surveys. It also suggests a realistic agenda for future work in survey sampling practice and theory. Part II contains papers dealing with specific methodological problems. Part III examines selected problems of analysis of survey data. The papers in Part IV deal with nonresponse, undercoverage, and related problems. Part V focuses on time series analysis. Part VI discusses applications of sample survey data and methods. Part VII addresses the gap between current survey practices and recent theoretical developments. It is hoped that this volume will be of interest to survey statisticians as well as to survey data users. If it stimulates thoughtful and courageous attack on some of the unresolved problems in survey sampling, its mission will have been amply fulfilled
Author : Peter V. Marsden,James D. Wright
Publisher : Emerald Group Publishing
Page : 905 pages
File Size : 40,9 Mb
Release : 2010-04-28
Category : Social Science
ISBN : 9781848552241
With chapters on: sampling; measurement; questionnaire construction and question writing; survey implementation and management; survey data analysis; special types of surveys; and integrating surveys with other data collection methods, this title includes topics such as measurement models, the role of cognitive psychology, and surveying networks.
Author : Anonim
Publisher : Unknown
Page : 1396 pages
File Size : 41,7 Mb
Release : 1979
Category : Government publications
ISBN : UIUC:30112063912668
Author : United States. Superintendent of Documents
Publisher : Unknown
Page : 1194 pages
File Size : 51,5 Mb
Release : 1966-07
Category : Government publications
ISBN : RUTGERS:39030030432910