Data + Design: A Simple Introduction to Preparing and Visualizing Information
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Internet, Phone, Mail, and Mixed-Mode Surveys
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The classic survey design reference, updated for the digital age For over two decades, Dillman's classic text on survey design has aided both students and professionals in effectively planning and conducting mail, telephone, and, more recently, Internet surveys. The new edition is thoroughly updated and revised, and covers all aspects of survey research. It features expanded coverage of mobile phones, tablets, and the use of do-it-yourself surveys, and Dillman's unique Tailored Design Method is also thoroughly explained. This invaluable resource is crucial for any researcher seeking to increase response rates and obtain high-quality feedback from survey questions. Consistent with current emphasis on the visual and aural, the new edition is complemented by copious examples within the text and accompanying website. This heavily revised Fourth Edition includes: Strategies and tactics for determining the needs of a given survey, how to design it, and how to effectively administer it How and when to use mail, telephone, and Internet surveys to maximum advantage Proven techniques to increase response rates Guidance on how to obtain high-quality feedback from mail, electronic, and other self-administered surveys Direction on how to construct effective questionnaires, including considerations of layout The effects of sponsorship on the response rates of surveys Use of capabilities provided by newly mass-used media: interactivity, presentation of aural and visual stimuli. The Fourth Edition reintroduces the telephone--including coordinating land and mobile. Grounded in the best research, the book offers practical how-to guidelines and detailed examples for practitioners and students alike.
See also the Polls & Public Opinion page of the Find Data & Statistics Guide or the Public Opinion Polls & Social Surveys Guide
The Art of Asking Questions
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While the statisticians are trying to knock a few tenths off the statistical error, says Mr. Payne, errors of tens of percents occur because of bad question wording. Mr. Payne's shrewd critique of the problems of asking questions reveals much about the nature of language and words, and a good deal about the public who must answer the poller's questions. For public opinion pollers, census takers, advertising copywriters, and survey makers of all kinds this book will be a tool for the achievement of more reliable results. Originally published in 1951. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Designing Effective Web Surveys
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Designing Effective Web Surveys is a practical guide to designing web surveys, based on empirical evidence and grounded in scientific research and theory. It is designed to guide survey practitioners in the art and science of developing and deploying successful web surveys. The author guides the researcher through the steps involved, from the basic building blocks and suggests ways to increase visual impact and interactivity. Throughout, he considers the importance of layout and design, and attention is also given to the way questions are put together. The book is intended for academic, government, and market researchers who design and conduct web surveys.
Conducting Online Surveys
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Conducting Online Surveysis a complete guide to conducting survey research using digital modalities. Many topics discussed, such as developing online and mobile questionnaires, are unique to digital surveys, whereas others, such as creating reliable survey questions, are common to all survey environments. The expansion of low-cost software options has opened up this area to a broad range of researchers, and the need for a comprehensive text for developing, implementing, and reporting digital surveys is greater than ever. This Second Editionreflects the significant developments in technology and the methodological literature since the publication of the First Edition. It captures in one single volume everything you need to know about conducting digital surveys from start to finish.
How to Manage, Analyze, and Interpret Survey Data
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''''&BAD:quot;A useful and readable introduction to data analysis and valuable resource for the nonspecialist.&BAD:quot;''--Cameron Lee, Fuller Theological Seminary''Clearly written with useful checklists, guidelines, and examples, How to Manage, Analyze, and Interpret Survey Data shows readers how to manage survey data and become better users and consumers of statistical and qualitative survey information. Fink explains the basic vocabulary of data management and statistics, and then demonstrates the principles and logic behind the selection and interpretation of commonly used statistical and qualitative methods to analyze survey data: from cleaning the data to measurement scales through to how to read computer output and judge significance using confidence intervals. Thoroughly reorganized and revised, the book now includes coverage of:''#65533; How to organize and manage data for analysis ''#65533; How to draft an analysis plan ''#65533; How to define and format a data file''#65533; How to create a complete code book, including how to establish the reliability of the coding''#65533; How to calculate the odds ratio and risk ratio''#65533; How to do the basic steps in a content analysis of qualitative data''#65533; How to recognize and deal with missing data and outliers for recoding''#65533; How to enter data accurately into spreadsheets, database management programs, and statistical programs''&BAD:quot;The author provides an excellent introductory overview to selecting appropriate statistical tests--the purposes and prerequisites for using various statistical methods.&BAD:quot;''--Kathy Sexton-Radek, Elmhurst College
Applied Survey Data Analysis
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Highly recommended by the Journal of Official Statistics, The American Statistician, and other top statistical journals, Applied Survey Data Analysis, Third 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 and second editions, this third edition further 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 procedures. New to the Third Edition: Applied Bayesian methods for the analysis of complex sample survey data using available software implementing these methods State-of-the-art methods and software for the analysis of survey data collected from non-probability samples Software for modern applications of machine learning techniques to complex sample survey data A completely revamped website providing code for replicating all the analyses illustrated in the book using Stata, SAS, SPSS, R, Mplus, SUDAAN, WesVar, and IVEware New end-of-chapter exercises, allowing for practice implementing the methods, including Bayesian analysis exercises Updated summaries of the newest literature on the analysis of survey data collected from complex samples An updated review of software packages currently available for the analysis of complex sample survey data Designed for readers working in a wide array of disciplines who conduct secondary analyses of survey data as part of their applied work, this book continues to provide a practical and accessible guide to the analysis of survey data. Continuing to use an example-driven approach to clearly illustrate analysis methods and software, the third 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 offer the newest code for replicating the examples in other popular software packages on the book's revamped website.
Data & Digital Scholarship Services helps researchers with creating, finding, and using data; geographic information systems (GIS); research data management and sharing; digital humanities and digital project planning and management.
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