Conducting Research Surveys via E-mail and the Web
Rand Corporation, Feb 15, 2002 - Science - 142 pages
Internet-based surveys, although still in their infancy, are becomingincreasingly popular because they are believed to be faster, better,cheaper, and easier to conduct than surveys using more-traditional telephoneor mail methods. Based on evidence in the literature and real-life casestudies, this book examines the validity of those claims. The authorsdiscuss the advantages and disadvantages of using e-mail and the Web toconduct research surveys, and also offer practical suggestions for designing and implementing Internet surveys most effectively.Among other findings, the authors determined that Internet surveys may bepreferable to mail or telephone surveys when a list of e-mail addresses forthe target population is available, thus eliminating the need for mail orphone invitations to potential respondents. Internet surveys also arewell-suited for larger survey efforts and for some target populations thatare difficult to reach by traditional survey methods. Web surveys areconducted more quickly than mail or phone surveys when respondents arecontacted initially by e-mail, as is often the case when a representativepanel of respondents has been assembled in advance. And, although surveysincur virtually no coding or data-entry costs because the data are capturedelectronically, the labor costs for design and programming can be high.
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Chapter One INTRODUCTION
Chapter Two BACKGROUND ON THE SURVEY PROCESS
Chapter Three LITERATURE REVIEW OF WEB AND EMAIL SURVEYS
Chapter Four CHOOSING AMONG THE VARIOUS TYPES OF INTERNET SURVEYS
Chapter Five GUIDELINES FOR DESIGNING AND IMPLEMENTING INTERNET SURVEYS
Chapter Six INTERNET SURVEY CASE STUDIES
Other editions - View all
Conducting Research Surveys Via E-mail and the Web, Issue 1480
Matthias Schonlau,Ronald D. Fricker,Marc N. Elliott
No preview available - 2002
1—Continued Primary Sample advertising Air Force answers Author Survey Topic bias browser Chapter closed populations completed Contact Response Follow-up Convenience E-mail convenience sample cost Couper e-mail addresses electronic error estimate example Harris Interactive incentive Internet surveys Internet-based surveys interview Knowledge Networks literature mail response Mode Mode Mode Mode Mode Rate newsgroups paper survey password percent Population Size Sample postal mail surveys potential respondents prenotification Primary Sample Type probability sample Prodigy programming propensity scoring questionnaire random digit dialing Random E-mail Random Mail Mail respondent’s Response Follow-up Response response mode response option response rates Response Year Author sample frame Sample Mode Mode Schleyer and Forrest screen skip patterns spondents sponse study arm survey design survey instrument survey process survey respondents survey sample Survey Topic Target Surveys Branch telephone surveys Topic Target Population U.S. Census Bureau users veys Washington State University Web survey