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A practical how-to guide on all the steps involved with survey implementation, this volume covers survey management, questionnaire design, sampling, respondent's psychology and survey participation, and data management. A comprehensive and practical reference for those who both use and produce survey data.
Proceedings of a workshop on the analysis of avian population trends, held April 1988 in Laurel, Maryland. Describes the design of major avian surveys, presents major analytical methods used to estimate population trends, and provides analyses of scissor-tailed flycatcher data set.
Providing a compact yet comprehensive coverage of survey research, this is an ideal companion or beginning text.
"The Handbook of Survey Research, Second Edition" builds on its widely-recognized 1983 predecessor by updating its previous historical account of the development of survey research and the evolution of social science before going on to examine new and expanded usages of survey research during the past half century. Editors Peter Marsden (Harvard University) and James D. Wright (University of Central Florida), long-time editor of Elsevier's Social Science Research, have created an authoritative reference book and an excellent starting point for anyone requiring a broad examination of the field. Detailed chapters include: 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 handbook is distinguished from other texts by its greater comprehensiveness and depth of coverage including topics such as measurement models, the role of cognitive psychology, surveying networks, and cross-national/cross-cultural surveys. Timely and relevant it includes materials that are only now becoming highly influential topics.
Systematic, practical, and accessible, this is the first book to focus on finding the most defensible design for a particular research question. Thoughtful guidelines are provided for weighing the advantages and disadvantages of various methods, including qualitative, quantitative, and mixed methods designs. The book can be read sequentially or readers can dip into chapters on specific stages of research (basic design choices, selecting and sampling participants, addressing ethical issues) or data collection methods (surveys, interviews, experiments, observations, archival studies, and combined methods). Many chapter headings and subheadings are written as questions, helping readers quickly find the answers they need to make informed choices that will affect the later analysis and interpretation of their data. Useful features include: *Easy-to-navigate part and chapter structure. *Engaging research examples from a variety of fields. *End-of-chapter tables that summarize the main points covered. *Detailed suggestions for further reading at the end of each chapter. *Integration of data collection, sampling, and research ethics in one volume. *Comprehensive glossary. See also Vogt et al.'s Selecting the Right Analyses for Your Data, which addresses the next steps in coding, analyzing, and interpreting data.
Techniques for Wildlife Investigations emphasizes the design of field studies and the statistical inferences that can be made from observed changes in animal abundance and populations. The information presented here is of value not only for wildlife management but also for social and economic decision-making related to the environmental effects of human activities on wildlife populations. Biologists, ecologists, biometricians, fish and game managers will find this book invaluable in their work. Key Features * Provides quantitative criteria for designing effective field experiments * Offers statistical methods for analyzing mark--recapture data * Gives examples and recommendations for implementing field studies
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples. Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.
Papers chiefly in the Indian context.
This volume ambitiously applies sociological theory to create an understanding of aspects of survey methodology. It focuses on the interplay between sociology and survey methodology: what sociological theory and approaches can offer to survey research and vice versa. The volume starts with a focus on direct connections between sociological theories and their applications in survey research. It further presents cutting-edge, original research that applies the ‚Äúsociological imagination‚ÄĚ to substantive concerns important to sociologists, survey methodologists, and social scientists and includes issues such as health, immigration, race/ethnicity, gender and sexuality, and criminal justice.

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