|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Wright, K. B. (2005). Researching Internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer-Mediated Communication, 10(3), article 11. http://jcmc.indiana.edu/vol10/issue3/wright.html
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Researching Internet-Based Populations:
Advantages and Disadvantages of Online Survey Research, Online Questionnaire Authoring Software Packages, and Web Survey Services This article examines some advantages and disadvantages of conducting online survey research. It explores current features, issues, pricing, and limitations associated with products and services, such as online questionnaire features and services to facilitate the online survey process, such as those offered by web survey businesses. The review shows that current online survey products and services can vary considerably in terms of available features, consumer costs, and limitations. It is concluded that online survey researchers should conduct a careful assessment of their research goals, research timeline, and financial situation before choosing a specific product or service.
The past decade has seen a tremendous increase in internet use and computer-mediated communication (Fox, Rainie, Larsen, Horrigan, Lenhart, Spooner, & Carter, 2001; Horrigan, 2001; Nie & Erbring, 2000; Nie, Hillygus, & Erbring, 2002). As an increasing amount of communicative activity takes place through this new medium, there has likewise been a significant increase in primary research on virtual communities, online relationships, and a variety of other aspects of computer-mediated communication (Flaherty, Pearce, & Rubin, 1998; Matheson, 1991; Nonnecke, Preece, Andrews, & Voutour, 2004; Preece, 1999; Preece & Ghozati, 2001; Walther, 1996; Walther & Boyd, 2002; Wood & Smith, 2001; Wright, 2000a, 2002a, 2002b, 2004). Studies of online populations have led to an increase in the use of online surveys, presenting scholars with new challenges in terms of applying traditional survey research methods to the study of online behavior and Internet use (Andrews, Nonnecke, & Preece, 2003; Bachmann & Elfrink, 1996; Stanton, 1998; Witmer, Colman, & Katzman, 1999; Yun & Trumbo, 2000).
Advantages of Online Survey Research
Researchers in a variety of disciplines may find the Internet a fruitful area for conducting survey research. As the cost of computer hardware and software continues to decrease, and the popularity of the Internet increases, more segments of society are using the Internet for communication and information (Fox et al., 2001; Nie et al., 2002). Thousands of groups and organizations have moved online, many of them aggressively promoting their presence through the use of search engines, email lists, and banner advertisements. These organizations not only offer information to consumers, they also present opportunities for researchers to access a variety of populations who are affiliated with these groups.
Access to Unique Populations
One advantage of online survey research is that it takes advantage of the ability of the Internet to provide access to groups and individuals who would be difficult, if not impossible, to reach through other channels (Garton, Haythornthwaite, & Wellman, 1999; Wellman, 1997). In many cases, communities and groups exist only in cyberspace. For example, it would be difficult to find a large, concentrated group of people conducting face-to-face discussions of topics such as cyber-stalking, online stock trading, and the pros and cons of virtual dating. While people certainly discuss such issues among friends, family members, and co-workers, few meet face-to-face in large groups to discuss them. One advantage of virtual communities as sites for research is that they offer a mechanism through which a researcher can gain access to people who share specific interests, attitudes, beliefs, and values regarding an issue, problem, or activity. For example, researchers can find a concentrated number of older individuals who use computers on the Internet-based community SeniorNet (Furlong, 1989; Wright, 2000a, 2000c). In contrast, with traditional survey research methods it may be more difficult to reach a large number of demographically-similar older people who are interested in computers.
Time
A second advantage is that Internet-based survey research may save time for researchers. As already noted, online surveys allow a researcher to reach thousands of people with common characteristics in a short amount of time, despite possibly being separated by great geographic distances (Bachmann & Elfrink, 1996; Garton et al., 2003; Taylor, 2000; Yun & Trumbo, 2000). A researcher interested in surveying hard-to-reach populations can quickly gain access to large numbers of such individuals by posting invitations to participate to newsgroups, chat rooms, and message board communities. In the face-to-face research environment, it would take considerably longer-if it were possible at all-to find an equivalent number of people with specific attributes, interests, and attitudes in one location.
Cost Online survey researchers can also save money by moving to an electronic medium from a paper format (Bachmann & Elfrink, 1996; Couper, 2000; Llieva et al., 2002; Yun & Trumbo, 2000). Paper surveys tend to be costly, even when using a relatively small sample, and the costs of a traditional large-scale survey using mailed questionnaires can be enormous. The use of online surveys circumvents this problem by eliminating the need for paper and other costs, such as those incurred through postage, printing, and data entry (Llieva et al., 2002; Watt, 1999; Witmer et al., 1999). Similarly, conducting online interviews, either by email, or in a synchronous "chat" format, offers cost savings advantages. Costs for recording equipment, travel, and the telephone can be eliminated. In addition, transcription costs can be avoided since online responses are automatically documented. Newer online survey creation software and web survey services costs can vary from very little to thousands of dollars depending upon the types of features and services selected; however, this is relatively inexpensive compared to the cost of traditional paper-and-pencil surveys. Disadvantages Associated with Online Survey Research As discussed above, online surveys offer many advantages over traditional surveys. However, there are also disadvantages that should be considered by researchers contemplating using online survey methodology. Although many of the problems discussed in this section are also inherent in traditional survey research, some are unique to the computer medium. Sampling Issues When conducting online research, investigators can encounter problems as regards sampling (Andrews et al., 2003; Howard, Rainie, & Jones, 2001). For example, relatively little may be known about the characteristics of people in online communities, aside from some basic demographic variables, and even this information may be questionable (Dillman, 2000; Stanton, 1998). A number of recent web survey services provide access to certain populations by offering access to email lists generated from other online surveys conducted through the web survey service. Some offer access to specialized populations based on data from previous surveys. However, if the data were self-reported, there is no guarantee that participants from previous surveys provided accurate demographic or characteristics information. Generating Samples from Virtual Groups and Organizations
Some virtual groups and organizations provide membership email lists that can help researchers establish a sampling frame. However, not all members of virtual groups and organizations allow their email addresses to be listed, and some may not allow administrators to provide their email addresses to researchers. This makes accurately sizing an online population difficult.
Generating a Sample from an Online Community
Establishing a sampling frame when researching an online community presents a number of challenges. Unlike membership-based organizations, many online communities, such as community bulletin boards and chat rooms, do not typically provide participant email addresses. Membership is based on common interests, not fees, and little information is required when registering to use these communities, if registration is required at all. Some researchers attempt to establish a sampling frame by counting the number of participants in an online community, or the published number of members, over a given period of time. In either case, the ebb and flow of communication in online communities can make it difficult to establish an accurate sampling frame. For example, participation in online communities may be sporadic depending on the nature of the group and the individuals involved in discussions. Some people are "regulars," who may make daily contributions to discussions, while others only participate intermittently. Furthermore, "lurkers," or individuals who read posts but do not send messages, may complete an online survey even though they are not visible to the rest of the community. The presence of lurkers in online communities appears to be highly variable (Preece, Nonnecke, & Andrews, 2004). Studies have found that in some online communities lurkers represent a high percentage (between 45% and 99%) of community members, while other studies have found few lurkers (Preece et al., 2004). Because lurkers do not make their presence known to the group, this makes it difficult to obtain an accurate sampling frame or an accurate estimate of the population characteristics.
Other Sampling Concerns
Although some studies of online survey methods have found that response rates in email surveys are equal to or better than those for traditional mailed surveys (Mehta & Sivadas, 1995; Stanton, 1998; Thompson, Surface, Martin, Sanders, 2003), these findings may be questionable because non-response rate tracking is difficult to ascertain in most large online communities (Andrews et al., 2003). One relatively inexpensive technique used by market researchers to increase response rates is to offer some type of financial incentive, e.g., a lottery. Individuals who participate in the survey are given a chance to win a prize or gift certificate, and the winner is selected randomly from the pool of respondents. However, this technique is not without problems. Internet users frequently encounter bogus lotteries and other "get rich quick" schemes online, so a lottery approach to increasing response rates could potentially undermine the credibility of the survey. In addition, offering a financial incentive may increase multiple responses to the survey as participants try to "stack the deck" to increase their chances of winning (Konstan, et al., 2005). Straight incentives such as a coupon redeemable for real merchandise, i.e., books, may be more effective and more credible.
Access Issues
Some researchers access potential participants by posting invitations to participate in a survey on community bulletin boards, discussion groups, and chat rooms. However, members of online communities often find this behavior rude or offensive (Hudson & Bruckman, 2004), or consider this type of posting to be "spam" (Andrews et al., 2003). A community moderator may delete the unwanted post, or the researcher may be inundated with emails from irate members of the community. Researchers using email invitations to participate in a survey may face similar rejection. An unwanted email advertisement is often considered an invasion of privacy. The invitation for the survey may be deleted, or the researcher may receive email from participants complaining about it.
Current Web Survey Software Packages and Online Survey-Related Services As noted above, today's researchers have help with online survey work. There are currently dozens of online survey software packages and web survey services available to researchers willing to pay for them. Table 1 lists 20 of the more prominent packages and services, along with their web addresses.
Table 1. Twenty web survey companies
The author examined each of the websites for these 20 online survey product and service companies in order to assess current features, pricing, and limitations, as well as to identify current trends in the online survey product and services market. Table 2 presents a comparison of features, pricing issues, and limitations of the 20 online product and service companies.
Table 2. Comparison of online survey software and services
This is not, of course, an exhaustive list of online survey software and service businesses. However, it represents a good cross-section of the types of online survey products and services currently available to researchers. The following sections consider some of the current features of online survey products and services, pricing issues, limitations, and the implications of using these products and services for online survey research. Current Features Survey Creation Software vs. Expanded Services The businesses listed in Tables 1 and 2 offer researchers two basic options for creating and conducting online survey research. One option is the online survey software packages, which are computer programs that researchers use to create and conduct online surveys on their own computer and server. The companies that offer such packages also provide options for customer support, server space for the online survey (in some cases), and several data tracking and analysis options. Other companies offer a wider range of services for conducting online surveys, including research design, online questionnaire development, sampling and data collection services, and data analysis and interpretation services. The major features and problems with each option are discussed below. Purchasing Software Option Some companies (see Table 2) require customers to purchase online survey creation software. Owning the software enables researchers to create multiple online surveys of any length as opposed to being charged per survey, per time period (e.g., by the month), by number of responses, by survey length, or by some combination of these options. Many of these companies also offer customer support, including help with design, data collection, participant tracking, and data analysis. One disadvantage of owning the software is that customers have to pay to upgrade software. Given rapid advances in software development, this software may be outdated in a relatively short period of time. Customers who have purchased software receive discounted upgrades, however. An example of this option is EZ Survey, which allows researchers to run the software on their own computer and a server of their choice. This may be an attractive choice for researchers who have access to free server space on their university or research organization server. Online Questionnaire Features
The businesses listed in Tables 1 and 2 offer a wide array of options for creating online surveys, including many different templates to help first-time web survey researchers. Each of the online survey products reviewed offered some type of online form to collect data from participants. A "form" is an interactive type of web page that allows Internet users to send information across computer networks. After completing an online survey, participants click on a "submit" button on the webpage. This transmits the survey responses to the researcher. Online survey questions are the same types as on a traditional paper/pencil questionnaire, only the participants submit the information over the Internet rather than return questionnaires in person or by mail. Common Gateway Interface (CGI) scripting, a type of computer language that is run on the Web server where an online survey is housed, tells the server how to process information that is submitted.
Data Collection and Analysis Features
In addition to helping researchers create online surveys, most of the reviewed businesses offer features that aid the data collection and analysis processes, as well as customer support. These range from basic features to more in-depth involvement by company consultants. Basic survey process features include tracking of survey respondent email, email response notification, real time tracking of item responses, and the ability to export survey responses to statistical software packages such as SAS and SPSS. In addition, most of the reviewed companies offer a required answer feature, which prevents survey data submission unless certain items are responded to. This reduces missing data, especially for key survey measures. Most online survey companies offer a redirect feature to display a "thank you for participating" web page, or any web page a researcher chooses, after a participant submits the data to the researcher. Other basic features include the ability to share data with other researchers, enabling research teams with members at different locations to share survey results.
Pricing
Costs of survey products and their services vary. In general, the more features and services needed from a web survey company, the more it will cost. However, it is a "buyer beware" situation. Basic features can be purchased for a relatively small amount of money. For instance, SurveyMonkey provides authoring tools, server space, and simple automated survey analysis for about $20 a month ($240 per year); however, there are limitations, such as the limitation of 1000 responses per month. SurveyMonkey charges an additional 5 cents per survey response over the 1000 response limit. Moreover, paying more does not necessarily mean more services. Other businesses, such as KeySurvey, charge substantially more ($670 per year for a basic subscription) for products and services similar to those offered by SurveyMonkey. Other companies charge researchers by the survey. Companies that charge less typically do not recruit participants for customers and do not provide consultation throughout all stages of the research process. However, for many web survey researchers, these basic, less expensive approaches may be sufficient, especially for those experienced in conceptualizing survey projects, data analysis, and interpretation of results. In general, if sample generation or help with analyzing data is not needed, then businesses that include these services in the price should be avoided, or else these services should be negotiated out of the price. Pricing for the businesses reviewed here varied considerably even though they offered similar products, features, and services. For example, SuperSurvey offers products, features, and services similar to SurveyMonkey for $500 to $2000 per business quarter (depending upon number of users and number of responses desired), as opposed to only $20 a month.
Limitations
As noted above, there may be limitations associated with using web survey products and services. Some specific limitations include issues of time, space, and number of responses allowed for a given price. For example, companies such as SurveyMonkey and SuperSurvey will host an online survey for a set amount of time. If a researcher wants to keep a survey on the company's server for an extended period of time (such as more than a year), this costs extra. In addition, some companies often charge more for longer surveys and for a number of respondents exceeding a certain amount (generally over 1000). Purchased software, in contrast, generally does not have space or response number restrictions.
Implications of Using Web Survey Products and Services
Current web survey products and services have greatly facilitated the process of creating and conducting online surveys. Researchers can save considerable time by utilizing the products and services that are offered by many of the businesses highlighted in this article, compared to the time that it would take most researchers to create an online survey themselves using a web authoring program, thanks to a variety of attractive features offered. The cost of these products and services varies depending on the types of features and services a researcher desires. As with purchasing any product or service, researchers should assess their research needs, budget, and research time frame, and comparison shop when deciding on which business to use.
The author would like to thank the anonymous reviewers for their helpful and insightful suggestions for improving this manuscript. Ahuja, M. K., & Carley, K. M. (1998). Network structure in virtual organizations. Journal of Computer-Mediated Communication, 3 (4). Retrieved April 18, 2005 from http://jcmc.indiana.edu/vol3/issue4/ahuja.html Andrews, D., Nonnecke, B., & Preece, J. (2003). Electronic survey methodology: A case study in reaching hard-to-involve Internet users. International Journal of Human-Computer Interaction, 16 (2), 185-210. Bachmann, D., & Elfrink, J. (1996). Tracking the progress of e-mail versus snail-mail. MarketingResearch, 8 (2), 31-35. Braithwaite, D. O., Waldron, V. R., & Finn, J. (1999). Communication of social support in computer-mediated groups for people with disabilities. Health Communication, 11 (2), 123-151. Couper, M. P. (2000). Web-based surveys: A review of issues and approaches. Public Opinion Quarterly, 64 (4), 464-494. Dillman, D. A. (2000). Mail and Internet Surveys: The Tailored Design Method. New York: John Wiley & Sons. Flaherty, L. M., Pearce, K. J., & Rubin, R. R. (1998). Internet and face-to-face communication: Not functional alternatives. Communication Quarterly, 46 (3), 250-268. Flanagin, A., & Metzger, M. (2001). Internet use in contemporary media environment. Human Communication Research, 27 (1), 153-181. Fox, S., Rainie, L., Larsen, E., Horrigan, J., Lenhart, A., Spooner, T., & Carter, C. (2001). Wired Seniors. The Pew Internet and American Life Project. Retrieved May 4th 2005 from: http://www.pewinternet.org/pdfs/PIP_Wired_Seniors_Report.pdf Furlong, M. S. (1989). An electronic community for older adults: The SeniorNet network. Journal of Communication, 39 (3), 145-153. Garton, L., Haythornthwaite, C., & Wellman, B. (1999). Studying on-line social networks. In S. Jones (Ed.), Doing Internet Research: Critical Issues and Methods for Examining the Net (pp. 75-105). Thousand Oaks, CA: Sage. Hamilton, J. C. (1999). The ethics of conducting social science research on the Internet. The Chronicle of Higher Education, 46 (15), B6-7. Hobman, E. V., Bordia, P., Irmer, B., & Chang, A. (2002). The expression of conflict in computer-mediated and face-to-face groups. Small Group Research, 33 (4), 439-465. Hollingshead, A. B., McGrath, J. E., & O'Connor, K. M. (1993). Group task performance and communication technology: A longitudinal study of computer-mediated versus face-to-face work groups. Small Group Research, 24 (3), 307-333. Horrigan, J. B. (2001). Online communities: Networks that nurture long-distance relationships and local ties. Pew Internet and American Life Project. Retrieved October 1, 2004 from http://www.pewInternet.org/reports/toc.asp?Report=47 Howard, P., Rainie, L., & Jones, S. (2001). Days and nights on the Internet: The impact of a diffusing technology. American Behavioral Scientist, 45 (3), 383-404. Hudson, J. M., & Bruckman, A. (2004). "Go away:"? Participant objections to being studied and the ethics of chatroom research. The Information Society, 20 (2), 127-139. Konstan, J. A., Rosser, B. R. S., Ross, M. W., Stanton, J., & Edwards, W. M. (2005). The story of subject naught: A cautionary but optimistic tale of Internet survey research. Journal of Computer-Mediated Communication, 10 (2), article 11. Retrieved April 25, 2005 from http://jcmc.indiana.edu/vol10/issue2/konstan.html Lee, J. Y. (1996). Charting the codes of cyberspace: A rhetoric of electronic mail. In L. Strate, R. Jacobson, & S. B. Gibson (Eds.), Communication and Cyberspace: Social Interaction in an Electronic Environment (pp. 275-296). Cresskill, NJ: Hampton Press. Llieva, J., Baron, S., & Healey, N. M. (2002). Online surveys in marketing research: Pros and cons. International Journal of Market Research, 44 (3), 361-367. Matheson, K. (1991). Social cues in computer-mediated negotiation: Gender makes a difference. Computers in Human Behavior, 7 (3), 137-145. Mehta, R., & Suvadas, E. (1995). Comparing response rates and response content in mail versus electronic mail surveys. Journal of the Market Research Society, 37 (4), 429-439. Mutahseb, A. (2004). The Internet as an Alternative Source of Information and Alternative Forum of Expression for Arab Americans. Unpublished Ph.D. dissertation. University of Memphis. Nie, N. H., & Erbring, L. (2000). Internet and Society: A Preliminary Report. Palo Alto, CA: Stanford Institute for the Quantitative Study of Society Press. Nie, N., Hillygus, S. & Erbring, L. (2002). Internet use, interpersonal relations and sociability: Findings from a detailed time diary study. In B. Wellman (Ed.), The Internet in Everyday Life (pp. 215-243). London: Blackwell Publishers. Nonnecke, B., Preece, J., Andrews, D., & Voutour, R. (2004, August). Online Lurkers Tell Why. Paper presented at the 2004 Americas Conference on Information Systems, New York City, NY. Parks, M. R., & Floyd, K. (1996). Making friends in cyberspace. Journal of Communication, 46 (1), 80-97. Preece, J. (1999). Empathetic communities: Balancing emotional and factual communication. Interacting with Computers: The Interdisciplinary Journal of Human-Computer Interaction, 12 (1), 63-77. Preece, J. J., & Ghozati, K. (2001). Experiencing empathy on-line. In R. E. Rice & J. E. Katz (Eds.), The Internet and Health Communication: Experiences and Expectations (pp. 237-260). Thousand Oaks, CA: Sage. Preece, J., Nonnecke, B., & Andrews, D. (2004). The top five reasons for lurking: Improving community experiences for everyone. Computers in Human Behavior, 20 (2), 201-223. Query, J. L., Jr., & Wright, K. B. (2003). Assessing communication competence in an on-line study: Toward informing subsequent interventions among older adults with cancer, their lay caregivers, and peers. Health Communication, 15 (2), 205-219. Reid, E. (1996). Informed consent in the study of on-line communities: A reflection on the effects of computer mediated research. The Information Society, 12, 169-174. Rice, R. E., & Katz, J. E. (2001). The Internet and Health Communication: Experiences and Expectations. Thousand Oaks, CA: Sage. Schmidt, W. C. (1997). World-Wide Web survey research: Benefits, potential problems, and solutions. Behavior Research Methods, Instruments and Computers, 29 (2), 274-279. Stanton, J. M. (1998). An empirical assessment of data collection using the Internet. Personnel Psychology, 51 (3), 709-725. Taylor, H. (2000). Does Internet research work? Comparing electronic survey results with telephone survey. International Journal of Market Research, 42 (1), 51-63. Thompson, L. F., Surface, E. A., Martin, D. L., & Sanders, M. G. (2003). From paper to pixels: Moving personnel surveys to the Web. Personnel Psychology, 56 (1), 197-227. Tidwell, L. C., & Walther, J. B. (2002). Computer-mediated communication effects on disclosure, impressions and interpersonal evaluations: Getting to know one another a bit at a time. Human Communication Research, 28 (3), 317-348. Walther, J. B. (1996). Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal interaction. Communication Research, 23 (1), 3-43. Walther, J. B., & Boyd, S. (2002). Attraction to computer-mediated social support. In C. A. Lin & D. Atkin (Eds.), Communication Technology and Society: Audience Adoption and Uses (pp. 153-188). Cresskill, NJ: Hampton Press. Walther, J. B., & Burgoon, J. K. (1992). Relational communication in computer-mediated interaction. Human Communication Research, 19 (1), 50-88. Watt, J. H. (1999). Internet systems for evaluation research. In G. Gay & T. L. Bennington (Eds.), Information Technologies in Evaluation: Social, Moral, Epistemological, and Practical Implications (pp. 23-44). San Francisco: Jossey-Bass. Wellman, B. (1997). An electronic group is virtually a social network. In S. Kiesler (Ed.), Culture of the Internet (pp. 179-205). Mahwah, NJ: Lawrence Erlbaum. Wellman, B., & Haythornthwaite, C. (Eds.) (2002). The Internet in Everyday Life. Oxford, UK: Blackwell. Whittaker, S., & Sidner, C. (1997). Email overload: Exploring personal information management of email. In S. Kiesler (Ed.), Culture of the Internet (pp. 277-295). Mahwah, NJ: Lawrence Erlbaum Associates. Witmer, D. F., Colman, R. W., & Katzman, S. L. (1999). From paper-and-pencil to screen-and-keyboard: Toward a methodology for survey research on the Internet. In S. Jones (Ed.), Doing Internet Research: Critical Issues and Methods for Examining the Net (pp. 145-161). Thousand Oaks, CA: Sage. Wood, A. F., & Smith, M. J. (2001). On-line Communication: Linking Technology, Identity, and Culture. Mahwah, NJ: Lawrence Erlbaum Associates. Wright, K. B. (1999). Computer-mediated support groups: An examination of relationships among social support, perceived stress, and coping strategies. Communication Quarterly, 47 (4), 402-414. Wright, K. B. (2000a). Computer-mediated social support, older adults, and coping. Journal of Communication, 50 (3), 100-118. Wright, K. B. (2000b). Perceptions of on-line support providers: An examination of perceived homophily, source credibility, communication and social support within on-line support groups. Communication Quarterly, 48 (1), 44-59. Wright, K. B. (2000c). The communication of social support within an on-line community for older adults: A qualitative analysis of the SeniorNet community. Qualitative Research Reports in Communication, 1 (2), 33-43. Wright, K. B. (2000d). Social support satisfaction, on-line communication apprehension, and perceived life stress within computer-mediated support groups. Communication Research Reports, 17 (2), 139-147. Wright, K. B. (2002a). Social support within an on-line cancer community: An assessment of emotional support, perceptions of advantages and disadvantages, and motives for using the community. Journal of Applied Communication Research, 30 (3), 195-209. Wright, K. B. (2002b). Motives for communication within on-line support groups and antecedents for interpersonal use. Communication Research Reports, 19 (1), 89-98. Wright, K. B. (2004). On-line relational maintenance strategies and perceptions of partners within exclusively Internet-based and primarily Internet-based relationships. Communication Studies, 55 (2), 418-432. Yun, G. W., & Trumbo, C. W. (2000). Comparative response to a survey executed by post, email, and web form. Journal of Computer-Mediated Communication, 6 (1). Retrieved April 18, 2005 from http://jcmc.indiana.edu/vol6/issue1/yun.html
(Ph.D. University of Oklahoma 1999) is an assistant professor in the Department of Communication at the University of Oklahoma. The majority of his research has focused on computer-mediated support groups and health outcomes for people with health concerns, interpersonal communication issues within the context of computer-mediated interaction, and online survey methodology. More information is available at: http://www.ou.edu/cas/deptcomm/facpages/wright.html
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| © 2005 Journal of Computer-Mediated Communication | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||