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Informationen zum Autor JohnnieDaniel earned a Ph.D. degree from the University of Michigan, and a J.D. degreefrom the Georgetown University Law Center. He teaches courses in research methods and statistics at HowardUniversity. He has also taught at LoyolaUniversity (Chicago), the University of Wisconsin-Milwaukee, TuskegeeUniversity, and the University of Michigan. He presents workshops on evaluation research, survey research, andproposal writing for researchers and others in government and privateindustry. He has worked for the Divisionof Research and Statistics of the Social Security Administration, the Institutefor Social Research at the University of Michigan, the legal newspaper Los Angeles Daily Journal, the Districtof Columbia Public Schools, and the Illinois Department of Public Aid. He served as a scholar in residence for theHealth Care Financing Administration, and as editor of the Journal of Social and Behavioral Sciences. Throughout his career he has conductednational and community surveys and other research across a wide range of topicsfor such private and public organizations as the National Science Foundation,U.S. Department of Transportation, U.S. Department of Treasury, U.S. Bureau ofthe Census, U.S. Department of the Army, U.S. Departmentof the Navy, U.S. District Court for the District of Columbia, District ofColumbia Public Schools, DuPont Chemicals, Martin Marietta Corporation, theInstitute for College Research Development and Support, and the WashingtonUrban League. Klappentext 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.Helping the reader to make research decisions, this text is an introductory guide to the basics of sampling. Inhaltsverzeichnis 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 ...
