Sampling Essentials

Johnnie 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 Urban League.

Preface List of Tables, Figures, and Research Notes Chapter 1. Preparing to Make Sampling Choices Chapter 2. Choosing Between Taking a Census and Sampling Chapter 3. Choosing Between Nonprobability Sampling and Probability Sampling Chapter 4. Choosing the Type of Nonprobability Sampling Chapter 5. Choosing the Type of Probability Sampling Chapter 6. Sampling Based on the Nature of the Sampling Unit and Mixed-Methods Sample Designs Chapter 7. Choosing the Size of the Sample Glossary References Index