Designing and Conducting Health Surveys: A Comprehensive GuideJohn Wiley & Sons, 2006年4月14日 - 544 頁 Designing and Conducting Health Surveys is written for students, teachers, researchers, and anyone who conducts health surveys. This third edition of the standard reference in the field draws heavily on the most recent methodological research on survey design and the rich storehouse of insights and implications provided by cognitive research on question and questionnaire design in particular. This important resource presents a total survey error framework that is a useful compass for charting the dangerous waters between systematic and random errors that inevitably accompany the survey design enterprise. In addition, three new studies based on national, international, and state and local surveys—the UNICEF Multiple Indicator Cluster Surveys, California Health Interview Survey, and National Dental Malpractice Survey—are detailed that illustrate the range of design alternatives available at each stage of developing a survey and provide a sound basis for choosing among them. |
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American analysis answer applied approach asked associated attitude behavior Center for Health Chapter characteristics cluster coding cognitive compared complex concept conducted consider costs data collection dental dependent developing Dillman discussed effects errors estimates evaluating examining example experience field Figure format gathering given groups Health Statistics health surveys household hypotheses identify important indicators individuals interest interval interview issues Journal major Malpractice means measures Medical methods National Center objectives Opinion particular patient percent population practice present probability problems procedures Public questionnaire questions random rates record reference reflect relationship reliability represent Resource respondents Retrieved sample scale selected smoking social sources specific standard Statistics steps survey design survey questions Survey Research Table telephone tion topics types University validity values variables weight