Analysis of Survey Data
Analysis of Survey Data

Author: R. L. Chambers

Publisher: John Wiley & Sons

Published: 2003-08-01

Total Pages: 398

ISBN-13: 0470864397

DOWNLOAD EBOOK

This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.

How to Manage, Analyze, and Interpret Survey Data
How to Manage, Analyze, and Interpret Survey Data

Author: Arlene Fink

Publisher: SAGE

Published: 2003

Total Pages: 156

ISBN-13: 9780761925767

DOWNLOAD EBOOK

Shows how to manage survey data and become better users of statistical and qualitative survey information. This book explains the basic vocabulary of data management and statistics, and demonstrates the principles and logic behind the selection and interpretation of commonly used statistical and qualitative methods to analyze survey data.

Complex Surveys
Complex Surveys

Author: Thomas Lumley

Publisher: John Wiley & Sons

Published: 2011-09-20

Total Pages: 329

ISBN-13: 111821093X

DOWNLOAD EBOOK

A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.

Analysis of Questionnaire Data with R
Analysis of Questionnaire Data with R

Author: Bruno Falissard

Publisher: CRC Press

Published: 2011-09-21

Total Pages: 264

ISBN-13: 1439817677

DOWNLOAD EBOOK

While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text.

Data Analysis with SPSS for Survey-based Research
Data Analysis with SPSS for Survey-based Research

Author: Saiyidi Mat Roni

Publisher: Springer Nature

Published: 2021-06-21

Total Pages: 273

ISBN-13: 9811601933

DOWNLOAD EBOOK

This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.

Analysis of Health Surveys
Analysis of Health Surveys

Author: Edward L. Korn

Publisher: John Wiley & Sons

Published: 2011-01-25

Total Pages: 408

ISBN-13: 1118030869

DOWNLOAD EBOOK

How to apply statistical methods to survey data--a guide toeffective analysis of health surveys. With large health surveys becoming increasingly available forpublic use, researchers with little experience in survey methodsare often faced with analyzing data from surveys to addressscientific and programmatic questions. This practical book providesstatistical techniques for use in survey analysis, making healthsurveys accessible to statisticians, biostatisticians,epidemiologists, and health researchers. The authors clearlyexplain the theory and methods of survey analysis along withreal-world applications. They draw on their work at the NationalInstitutes of Health as well as up-to-date information from acrossthe literature to present: * The sampling background necessary to understand health surveys. * The application of such techniques as t-tests, linear regression,logistic regression, and survival analysis to survey data. * The use of sample weights in survey data analysis. * Dealing with complications in variance estimation in large healthsurveys. * Applications involving cross-sectional, longitudinal, andmultiple cross-sectional surveys, and the use of surveys to performpopulation- based case-control analyses. * Guidance on the correct use of statistical methods found insoftware packages. * Extensive bibliography.

How to Analyze Survey Data
How to Analyze Survey Data

Author: Arlene Fink

Publisher: SAGE

Published: 1995-08-03

Total Pages: 116

ISBN-13: 9780803973862

DOWNLOAD EBOOK

Clear and concise, How to Analyze Survey Data shows you how to do just that: analyse survey data. It shows what statistics can do for surveys, describes measurement scales in detail, and demonstrates how to choose a method to analyze your results.

Survey Weights
Survey Weights

Author: Richard Valliant

Publisher:

Published: 2018

Total Pages: 183

ISBN-13: 9781597182607

DOWNLOAD EBOOK

Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples. Sample designs can range from simple, single-stage samples to more complex, multistage samples, each of which may use specialized steps in weighting to account for selection probabilities, nonresponse, inaccurate coverage of a population by a sample, and auxiliary data to improve precision and compensate for coverage errors. The authors provide many examples with Stata code.

Research Methods in Second Language Acquisition
Research Methods in Second Language Acquisition

Author: Alison Mackey

Publisher: John Wiley & Sons

Published: 2011-12-12

Total Pages: 338

ISBN-13: 1444334271

DOWNLOAD EBOOK

Research Methods in Second Language Acquisition “With its cornucopia of information, both thorough and practical, this book is a must for our methodology shelves. Its study questions and project suggestions will be a boon for many research methods courses.” Robert M. DeKeysevr, University of Maryland “This guide to collecting, coding and analyzing second language acquisition data will be an essential reference for novice and experienced researchers alike.” Peter Robinson, Aoyama Gakuin University “Comprehensive and technically up-to-date, yet accessible and cogent! This remarkable textbook is sure to become a premier choice for the research training of many future SLA generations.” Lourdes Ortega, University of Hawaii “Alison Mackey and Susan Gass’ valuable new book offers hands-on methodological guidance from established experts on all kinds of second language research.” Michael H. Long, University of Maryland Research Methods in Second Language Acquisition: A Practical Guide is an informative guide to research design and methodology in this growing and vibrant field. Utilizing research methods and tools from varied fields of study including education, linguistics, psychology, and sociology, this collection offers complete coverage of the techniques of second language acquisition research. This guide covers a variety of topics, such as second language writing and reading, meta-analyses, research replication, qualitative data collection and analysis, and more. Each chapter of this volume offers background, step-by-step guidance, and relevant studies to create comprehensive coverage of each method. This carefully selected and edited volume will be a useful text for graduate students and scholars looking to keep pace with the latest research projects and methodologies in second language acquisition.

Analyzing Qualitative Data with MAXQDA
Analyzing Qualitative Data with MAXQDA

Author: Udo Kuckartz

Publisher: Springer

Published: 2019-05-31

Total Pages: 293

ISBN-13: 3030156710

DOWNLOAD EBOOK

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.