Electronic Survey Methodology: A Case Study in Reaching Hard-to-Involve Internet Users

Using the Internet to conduct quantitative research presents challenges not found in conventional research. Paper-based survey quality criteria cannot be completely adapted to electronic formats. Electronic surveys have distinctive technological, demographic, and response characteristics that affect their design, use, and implementation. Survey design, participant privacy and confidentiality, sampling and subject solicitation, distribution methods and response rates, and survey piloting are critical methodological components that must be addressed. In this article, quality criteria for electronic survey design and use based on an investigation of recent electronic survey literature are presented. The application of these criteria to reach a hard-to-involve online population-nonpublic participants of online communities (also known as "lurkers")-and survey them on their community participation, a topic not salient to the purpose of their online communities is demonstrated in a case study. The results show that a hard-to-reach audience can be reached using the quality criteria that are most important for reaching these types of audiences. The results suggest how the use of some criteria may conflict and what researchers may experience when conducting electronic surveys in an online culture in which people are not tolerant of intrusions into online lives.

[1]  Ben Shneiderman,et al.  Assessing users' subjective satisfaction with the Information System forYouth Services (ISYS) , 1998 .

[2]  Humphrey Taylor,et al.  Does Internet Research Work? , 2000 .

[3]  J. Pitkow,et al.  Surveying the Territory: GVU's Five WWW User Surveys , 1997 .

[4]  M. Traugott,et al.  Web survey design and administration. , 2001, Public opinion quarterly.

[5]  Jennifer Preece,et al.  Lurker demographics: counting the silent , 2000, CHI.

[6]  Jennifer Preece,et al.  A conceptual framework for demographic groups resistant to online community interaction , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[7]  Ulf-Dietrich Reips,et al.  Financial Incentives, Personal Information and Drop Out in Online Studies , 2001 .

[8]  Mick P. Couper A Comparison of Mail and E-Mail for a Survey of Employees in Federal Statistical Agencies , 2001 .

[9]  Judee K. Burgoon,et al.  Maintaining and Restoring Privacy through Communication in Different Types of Relationships , 1989 .

[10]  N. Schwarz Self-reports: How the questions shape the answers. , 1999 .

[11]  B. Nonnecke,et al.  WHY LURKERS LURK , 2001 .

[12]  M. Spinks Doing internet research: critical issues and methods for examining the net , 2001 .

[13]  James H. Watt,et al.  Internet systems for evaluation research , 1999 .

[14]  J. Krosnick,et al.  Survey research. , 1999, Annual review of psychology.

[15]  Tom Carey,et al.  Human-computer interaction , 1994 .

[16]  Yin Zhang,et al.  Using the Internet for survey research: A case study , 2000, J. Am. Soc. Inf. Sci..

[17]  Austin Henderson,et al.  Interaction design: beyond human-computer interaction , 2002, UBIQ.

[18]  Changsoo Sohn Validity of Web-based Survey in IS Related Research as an Alternative to Mail Survey , 2001 .

[19]  Peter M. Chisnall,et al.  Questionnaire Design, Interviewing and Attitude Measurement , 1993 .

[20]  M H Birnbaum,et al.  SurveyWiz and factorWiz: Javascript Web pages that make HTML forms for research on the internet , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[21]  Tammy L. Bennington Information technologies in evaluation : social, moral, epistemological, and practical implications , 1999 .

[22]  S. Kiesler,et al.  SELF-SELECTED AND RANDOMLY SELECTED RESPONDENTS IN A COMPUTER NETWORK SURVEY , 1992 .

[23]  Kim Bartel Sheehan,et al.  E-mail Survey Response Rates: A Review , 2006, J. Comput. Mediat. Commun..

[24]  K. Sheehan Response Variation in E-Mail Surveys: An Exploration , 1999 .

[25]  Kim Bartel Sheehan,et al.  Using E-mail To Survey Internet Users In The United States: Methodology And Assessment , 2006, J. Comput. Mediat. Commun..

[26]  P. Howard,et al.  Research Methodology , 2000 .

[27]  J. Stanton AN EMPIRICAL ASSESSMENT OF DATA COLLECTION USING THE INTERNET , 1998 .

[28]  R. LaRose,et al.  Privacy Issues in Internet Surveys , 1999 .

[29]  S. Kiesler,et al.  Response Effects in the Electronic Survey , 1986 .

[30]  Christine B. Smith,et al.  Casting the Net: Surveying an Internet Population , 2006, J. Comput. Mediat. Commun..

[31]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction , 2002 .

[32]  Seymour Sudman,et al.  Answering Questions: Methodology for Determining Cognitive and Communicative Processes in Survey Research , 1995 .

[33]  R. Coomber Using the Internet for Survey Research , 1997 .

[34]  F. Langerak,et al.  Non-Probability Sampling for WWW Surveys: A Comparison of Methods , 1998 .

[35]  E. Bruera,et al.  Palliative Care on the Net: An Online Survey of Health Care Professionals , 2001, Journal of palliative care.

[36]  Raj Mehta,et al.  Comparing Response Rates and Response Content in Mail versus Electronic Mail Surveys , 1995 .

[37]  Don A. Dillman,et al.  Development of a Standard E-Mail Methodology: Results of an Experiment , 1998 .

[38]  Gi Woong Yun,et al.  Comparative Response to a Survey Executed by Post, E-mail, & Web Form , 2006, J. Comput. Mediat. Commun..

[39]  Ben Shneiderman,et al.  Designing the User Interface: Strategies for Effective Human-Computer Interaction , 1998 .

[40]  Martin Wetzels,et al.  From paper-and-pencil to screen-and-keyboard : studies on the effectiveness of internet-based marketing research , 2006 .

[41]  R. Weitkunat,et al.  Social Science Computer Review Internet Surveys by Direct Mailing : an Innovative Way of Collecting Data Internet Surveys by Direct Mailing an Innovative Way of Collecting Data , 2022 .

[42]  Scott McCoy,et al.  Using Electronic Surveys to Collect Data: Experiences from the Field , 2001 .

[43]  Tracy L. Tuten,et al.  Classifying Response Behaviors in Web-based Surveys , 2006, J. Comput. Mediat. Commun..

[44]  Jakob Nielsen,et al.  Designing web usability , 1999 .

[45]  Shellie D. Locke,et al.  Method of psychological assessment, self-disclosure, and experiential differences: A study of computer, questionnaire, and interview assessment formats. , 1995 .

[46]  M. Couper,et al.  Web Surveys , 2001 .

[47]  Kent L. Norman,et al.  Navigational issues in the design of online self-administered questionnaires , 2001, Behav. Inf. Technol..

[48]  Everett M. Rogers,et al.  Progress, problems and prospects for network research: Investigating relationships in the age of electronic communication technologies , 1987 .

[49]  A. Paolo,et al.  Response Rate Comparisons of E-Mail- and Mail-Distributed Student Evaluations , 2000, Teaching and learning in medicine.

[50]  M. Couper A REVIEW OF ISSUES AND APPROACHES , 2000 .