Survey

This book addresses the needs of researchers who want to conduct surveys online. Issues discussed include sampling from online populations, developing online and mobile questionnaires, and administering electronic surveys, are unique to digital surveys. Others, like creating reliable and valid survey questions, data analysis strategies, and writing the survey report, are common to all survey environments. This single resource captures the particulars of conducting digital surveys from start to finish

Surveys are a cornerstone of social and behavioral research, and with the use of web-based tools, surveys have become an easy and inexpensive means of gathering data. But how researchers ask a question can dramatically influence the answers they receive. Sheila B. Robinson and Kimberly Firth Leonard’s Designing Quality Survey Questions shows readers how to craft high quality, precisely-worded survey questions that will elicit rich, nuanced, and ultimately useful data to help answer their research or evaluation questions. The authors address challenges such as crafting demographic questions, designing questions that keep respondents engaged and avoid survey fatigue, web-based survey formats, culturally-responsive survey design, and factors that influence survey responses. Additionally, “Stories from the Field” features provide real world experiences from practitioners who share lessons learned about survey design, and end-of-chapter exercises and discussion questions allow readers to apply the information they’ve learned.

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.

Offering a practical, six-step approach to effective survey design, delivery, and analysis, Survey Methods for Medical and Health Professions Education provides a real-world framework for successful research and evaluation using surveys. Focused on medical and other health professional education research, this unique text features quick-reference checklists, high-yield explanations, and case examples throughout, making it both a foundational reference and a go-to resource for all health professions educators and researchers who use surveys. Provides a detailed and practical discussion of the steps in survey methodology, along with just enough theory to inform common decisions. Includes numerous real-world examples, both simple and complex, covering the wide range of problems researchers are likely to face. Addresses issues of survey fatigue and addresses the challenge of how to get "good data." Features "Voice of Experience" boxes—pearls based on authors’ actual experiences. Concludes each chapter with a checklist so readers can quickly ensure they have covered every necessary step of survey design and implementation. Contains a convenient glossary of terms. Offers guidance from expert international contributors in medical and health professions research. Summarizes the most current standards and understanding of survey research so that experienced and novice researchers alike can directly apply content to improve research rigor.

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