Survey
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* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Health Surveys January 2008 Diane Martin, MA, PhD 1 Why Surveys? • Answer important questions • Learn new skills, especially in measurement • Self admin. relatively inexpensive • Complete fairly quickly • Write one results paper and/or one methods paper 2 Survey Research • Large body of scientific evidence • Art of survey design, practical experience • Tradeoff between methodological rigor and cost • Two major types of res. questions – Describe (estimation) – Explain associations (hyp. testing) 3 Advantages of Surveys • Collect information only respondent can answer • Good for attitudes, beliefs, expectations, personal behaviors, subjective measures, individual experiences • Information society (culturally defined) 4 Disadvantages of Surveys • Respondent burden • Nonresponse • Negative influence of gov’t/privacy/telemarketing • Poor survey techniques, everyone thinks they can do this 5 Survey - Last Resort • Are existing data sufficient? • Can secondary data be abstracted? • Can observations be made? 6 Most Important Survey Principles • Minimize errors throughout process • Encourage response, decrease respondent burden • Use tailored design • Define measures carefully • Pay attention to detail 7 Scientific Integrity • • • • • • • Responsible conduct of research AAPOR code of ethics Conflicts of interest Elements of disclosure Human subject issues Interviewer falsification Data mashing 8 Ethical Principles • Respect for the person: informed consent, rights respected • Beneficence: subjects’ well-being, risks vs benefits • Justice: benefits & burdens distributed fairly across people 9 UW IRB • Exempt, ‘no risk’, anonymous, limited publication • Minimal risk, expedited review (maybe) • Full review 10 Survey Content • Don’t reinvent the wheel • Keep it simple, short • Move from a conceptual model with major variables to operational definitions of variables (measurement matrix) • Consider measurement issues • Aday LA, Designing and Conducting Surveys, 1996 11 Single Questions versus Scale or Index • Advantages of scale or index – Increases sensitivity – Decreases number of variables for analysis • Consider the scale validity, reliability, measurement error • Obtain help if constructing new scale12 Survey Mode • Choose mode appropriate for content and population • Know mode advantages and disadvantages • Interviews: in person, telephone, ACASI • Self administered: in clinic, mail, computer/internet 13 Total Survey Error • Overall goal: decrease study error • Know different types of errors • Anticipate errors in all phases of study!! • Understand how errors affect results • Take errors into account in analysis and discussion • Groves RM et al, Survey Methodology, 2004 14 Tailored Survey Design • Survey response is explained by Social Exchange Theory – Actions of individuals motivated by expected return on their actions • Create respondent trust, perceived rewards > costs • Use health marketing and communication • Format for print or web Qs is crucial • Pretest • Dillman DA, Mail and Internet Surveys, 2007 15 Analysis • Know unit of analysis • Write hypotheses a priori, with clear definitions of outcome variable and independent (predictor) variables • Write plan of analysis and make mock tables • Use Epi Info to analyze data 16 Disseminate Results • Feedback results to respondents, community, gov’t MOH (presentations, one page summary) • Write articles for newspapers • Find a journal article that reports on a study similar to yours – mimic it 17 Summary • Survey - last resort • Don’t reinvent the wheel • Keep it short, simple • Maximize social exchange • Minimize errors and respondent burden 18