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"Acknowledging the impact of sociological factors on the survey process, this book introduces a paradigm for the cognitive interview process. It introduces the interpretive approach to cognitive interviewing, presents the underlying theoretical foundations, and explores the issues relating it. The book also addresses the various aspects of data collection, analysis, and documentation. It is an ideal reference for survey researchers and practitioners in the social sciences who utilize these techniques in their everyday work and as a supplement for courses on survey methods at the upper-undergraduate and graduate levels"--

This volume brings together a selection of papers presented at the 2017 European Establishment Statistics Workshop, which have been revised and expanded here. Several contributions will serve to deepen the reader's understanding of the unit problem in business statistics, while further chapters showcase recent advances in business survey methodology and practice in areas such as linking and data integration, sampling and estimation, data collection from businesses, measurement and mitigation of response burden in business surveys, among others. Written by leading experts in business statistics

Presents a comprehensive treatment of survey errors and the costs and benefits of alternative survey designs, integrating statistical and social science perspectives on survey design. Considers coverage error, nonresponse error, sampling error, and measurement error, including the effects of interviewers and respondents, the wording of the questionnaire, and mode of data collection

Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers. Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods

This paper presents the first draft of a chapter on the survey methodology which is intended to be part of a larger report on the Mbere study. It presents a straightforward summary firstly of the objectives of the survey and the reasons for their selection and secondly of the methods which were employed to collect the data

High response rates have traditionally been considered as one of the main indicators of survey quality. Obtaining high response rates is sometimes difficult and expensive, but clearly plays a beneficial role in terms of improving data quality. It is becoming increasingly clear, however, that simply boosting response to achieve a higher response rate will not in itself eradicate nonresponse bias. In this book the authors argue that high response rates should not be seen as a goal in themselves, but rather as part of an overall survey quality strategy based on random probability sampling and aim

Origins and Development of Health Survey Methods / Timothy P Johnson -- Design and Sampling Issues. Sampling For Community Health Surveys / Michael P Battaglia -- Developing a Survey Sample Design for Population-Based Case-Control Studies / Ralph DiGaetano -- Sampling Rare Populations / James Wagner, Sunghee Lee -- Design and Measurement Issues. Assessing Physical Health / Todd Rockwood -- Developing and Selecting Mental Health Measures / Ronald C Kessler, Beth-Ellen Pennell -- Developing Measures of Health Behavior and Health Service Utilization / Paul Beatty -- Self-Rated Health in Health Surveys / Sunghee Lee -- Pretesting of Health Survey Questionnaires: Cognitive Interviewing, Usability Testing, and Behavior Coding / Gordon Willis -- Cross-Cultural Considerations in Health Surveys / Brad Edwards -- Survey Methods for Social Network Research / Benjamin Cornwell, Emily Hoagland -- New Technologies for Health Survey Research / Joe Murphy, Elizabeth Dean, Craig A Hill, Ashley Richards -- Field Issues. Using Survey Data to Improve Health: Community Outreach and Collaboration / Steven Whitman, Ami M Shah, Maureen R Benjamins, Joseph West -- Proxy Reporting in Health Surveys / Joseph W Sakshaug -- The Collection of Biospecimens in Health Surveys / Joseph W Sakshaug, Mary Beth Ofstedal, Heidi Guyer, Timothy J Beebe -- Collecting Contextual Health Survey Data Using Systematic Observation / Shannon N Zenk, Sandy Slater, Safa Rashid -- Collecting Survey Data on Sensitive Topics: Substance Use / Joe Gfroerer, Joel Kennet -- Collecting Survey Data on Sensitive Topics: Sexual Behavior / Tom W Smith -- Ethical Considerations in Collecting Health Survey Data / Emily E Anderson -- Health Surveys of Special Populations. Surveys of Physicians / Jonathan B VanGeest, Timothy J Beebe, Timothy P Johnson -- Surveys of Health Care Organizations / John D Loft, Joe Murphy, Craig A Hill -- Surveys of Patient Populations / Francis Fullam, Jonathan B VanGeest -- Surveying Sexual and Gender Minorities / Melissa A Clark, Samantha Rosenthal, Ulrike Boehmer -- Surveying People with Disabilities: Moving Toward Better Practices and Policies / Rooshey Hasnain, Carmit-Noa Shpigelman, Mike Scott, Jon R Gunderson, Hadi B Rangin, Ashmeet Oberoi, Liam McKeever -- Data Management and Analysis. Assessing the Quality of Health Survey Data Through Modern Test Theory / Adam C Carle -- Sample Weighting for Health Surveys / Kennon R Copeland, Nadarajasundaram Ganesh -- Merging Survey Data with Administrative Data for Health Research Purposes / Michael Davern, Marc Roemer, Wendy Thomas -- Merging Survey Data with Aggregate Data from Other Sources: Opportunities and Challenges / Jarvis T Chen -- Analysis of Complex Health Survey Data / Stanislav Kolenikov, Jeff Pitblado