Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as whether to choose a census or a sample, as well as how to select sample size and sample type.
Intended for students and researchers in the social and behavioral sciences, public health research, marketing research, and related areas, the text provides nonstatisticians with the concepts and techniques they need to do quality work and make good sampling choices.
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About the Author
Daniel earned a Ph.D. degree from the University of Michigan, and a J.D. degree from the Georgetown University Law Center.
He teaches courses in research methods and statistics at Howard
University. He has also taught at Loyola
University (Chicago), the University of Wisconsin-Milwaukee, Tuskegee
University, and the University of Michigan.
He presents workshops on evaluation research, survey research, and proposal writing for researchers and others in government and private industry. He has worked for the Division of Research and Statistics of the Social Security Administration, the Institute for Social Research at the University of Michigan, the legal newspaper Los Angeles Daily Journal, the District of Columbia Public Schools, and the Illinois Department of Public Aid. He served as a scholar in residence for the
Health Care Financing Administration, and as editor of the Journal of Social and Behavioral Sciences. Throughout his career he has conducted national and community surveys and other research across a wide range of topics for such private and public organizations as the National Science Foundation,
U.S. Department of Transportation, U.S. Department of Treasury, U.S. Bureau of the Census, U.S. Department of the Army, U.S. Department of the Navy, U.S. District Court for the District of Columbia, District of
Columbia Public Schools, DuPont Chemicals, Martin Marietta Corporation, the
Institute for College Research Development and Support, and the Washington
Table of ContentsPrefaceList of Tables, Figures, and Research NotesChapter 1. Preparing to Make Sampling ChoicesChapter 2. Choosing Between Taking a Census and SamplingChapter 3. Choosing Between Nonprobability Sampling and Probability SamplingChapter 4. Choosing the Type of Nonprobability SamplingChapter 5. Choosing the Type of Probability SamplingChapter 6. Sampling Based on the Nature of the Sampling Unit and Mixed-Methods Sample DesignsChapter 7. Choosing the Size of the SampleGlossaryReferencesIndex