Web Survey Bibliography
Background: The majority of Internet-mediated studies use measures developed as paper-and-pencil measures or face-to-face-delivered material. Previous research suggests that the equivalence between online and offline measures must be demonstrated rather than assumed.
Objective: The objective of this study was to explore the equivalence 4 measures completed in an online or offline setting.
Methods: A sample of students (n = 1969) was randomly assigned to complete 4 popular scales (the SF-12v2, the Hospital Anxiety and Depression Scale (HADS), the Fatigue Symptom Inventory, and a single-item fatigue measure) either online or by mail survey (pencil and paper). The response rate was 52.51% (n = 1034) and comparable between the online and offline groups.
Results: Significant differences were noted in fatigue levels between the online and offline group (P = .01) as measured by the Fatigue Symptom Inventory, with the online sample demonstrating higher levels of fatigue. Equivalency was noted for the SF-12v2, the Hospital Anxiety and Depression Scale, and the single-item fatigue measure. Internal consistency was high except for the SF-12v2. The SF-12v2 may not be an ideal measure to use for remote administration.
Conclusions: Equivalency of the Hospital Anxiety and Depression Scale (HADS) and the Physical Component Score and Mental Component Score of the SF-12v2 for online and offline data were demonstrated. Equivalency was not demonstrated for the Fatigue Symptom Inventory. Explanations for the difference in fatigue score between the online and offline samples are unclear. Research that seeks to match samples and control for extraneous online and offline variables is called for, along with exploration of factors that may mediate the completion of questionnaires or alter the respondents’ relationship with the same, to enhance progress in this area.
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Web Survey Bibliography - Mode comparisons (1566)
- Can Google Consumer Surveys Help Pre-Test Alternative Versions of a Survey Question?: A Comparison of...; 2013; Stern, M. J., Welch, W. W.
- Examining the Effects of Interventions to Obtain Participation via Less Expensive Modes: Results from...; 2013; Harris-Kojetin, L., Sengupta, M., Hobbs, M., Greene, A.
- Evaluating the Effect of a Non-Monetary Incentive in a Nationally Representative Mixed-Mode Establishment...; 2013; Sengupta, M., Harris-Kojetin, L., Hobbs, M., Greene, A.
- The Effect of Survey Mode on Nonresponse Bias and Measurement Error: A Validation Approach; 2013; Kirchner, A., Felderer, B.
- Examining the Feasibility of SMS as a Contact Mode for a College Student Survey; 2013; Crawford, S. D., McClain, C., O'Brien, S., Nelson, T. F.
- Survey Reminder Method Experiment: An Examination of Cost Efficiency and Reminder Mode Salience in the...; 2013; Anderson, M., Rogers, B., CyBulski, K., Hall, J. W., Alderks, C. E., Milazzo-Sayre, L.
- How Representative are Google Consumer Surveys?: Results From an Analysis of a Google Consumer Survey...; 2013; Krishnamurty, P., Tanenbaum, E., Stern, M. J.
- One Drink or Two: Does Quantity Depicted in an Image Affect Web Survey Responses?; 2013; Charoenruk, N., Stange, M.
- A Comparison Between Screen/Follow Item Format and Yes/No Item Format on a Multi-Mode Federal Survey; 2013; Hernandez,S. J., Arakelyan, S. N., Welch, V. E.
- Using Multiple Modes in Follow-Up Contacts in Random-Digit Dialing Surveys; 2013; Chowdhury, P. P.
- Tablets and Smartphones and Netbooks, Oh My! Effects of Device Type on Respondent Behavior; 2013; Ross, H., Mendelson, J., Lackey, M.
- Multi-Mode Survey Administration: Does Offering Multiple Modes at Once Depress Response Rates?; 2013; Newsome, J., Levin, K., Langetieg, P., Vigil, M., Sebastiani, M.
- Utilizing the Web in a Multi-Mode Survey; 2013; Venkataraman, L.
- Mode Matters: Evaluating Response Comparability in a Mixed-Mode Survey; 2013; Bowyer, B. T., Rogowski, J. C.
- Comparing Survey Results Obtained via Mobile Devices and Computers: An Experiment With a Mobile Web...; 2013; de Bruijne, M., Wijnant, A.
- PDAs in socio-economic surveys: instrument bias, surveyor bias or both?; 2013; Escobal, J., Benites, S.
- Compared to a small, supervised lab experiment, a large, unsupervised web-based experiment on a previously...; 2013; Ryan, R. S., Wilde, M., Crist, S.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Moving an established survey online – or not?; 2013; Barber, T., Chilvers, D., Kaul, S.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- Cyborgs vs. Monsters: Assembling Modular Surveys to Create Complete Datasets; 2013; Johnson, E. P., Siluk, L., Tarraf, S.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- The comparison of road safety survey answers between web-panel and face-to-face; Dutch results of SARTRE...; 2013; Goldenbeld, C., de Craen, S.
- Addressing Survey Nonresponse Issues: Implications for ATE Principal Investigators, Evaluators, and...; 2013; Welch, W. W., Barlau, A. N.
- Consolidation and Standardization of Survey Operations at a Decentralized Federal Statistical Agency; 2013; Nealon, J., Gleaton, E.
- Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection...; 2013; Weigold, A., Weigold, I. K., Russell, E. J.
- Online Mixed Mode Surveying using a Responsive Design; 2013; Kissau, K.
- Sensitive Topics in PC and Mobile Web Surveys; 2013; Mavletova, A. M., Couper, M. P.
- Mobile Research Performance: How Mobile Respondents Differ from PC Users Concerning Interview Quality...; 2013; Schmidt, S., Wenzel, O.
- Comparison of psychometric properties of internet versions of the Marlowe-Crowne Social Desirability...; 2013; Vesteinsdottir, V., Reips, U. -D., Joinson, A. N., Porsdottir, F.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- Rewards - Money for Nothing?; 2013; Cape, P. J., Martin, P.
- Using Web Survey Panels to Estimate Population Characteristics: A Comparison of Alternative Approaches...; 2013; Rivers, D.
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 2013; Lynn, P.
- Comparison of web-based versus paper-and-pencil administration of a humor survey; 2013; Wang, C.-C., Cheng, C.-L.;, -S., Cheng, Y.-Y.Liu, K.-S.
- Virtual Research Methods; 2013; Hine, C.
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- Exploring Response Differences between Face-to-Face and Web Surveys: A Qualitative Comparative Analysis...; 2013; Bennink, M., Moors, G., Gelissen, J.
- The Use of Mixed Methods in Organizational Communication Research; 2013; Salem, P. J.
- The Use of E-Questionnaires in Organizational Surveys; 2013; Brender-Ilan, Y., Vinitzky, G.
- The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic...; 2013; Fang, J., Wen, C., Prybutok, V.
- Mode Effects in Free-list Elicitation: Comparing Oral, Written, and Web-based Data Collection; 2013; Gravlee, C. C., Bernard, H. R., R., Jacobsohn, A., R.Maxwell, C. R.
- A Comparison of the Quality of Questions in a Face-to-face and a Web Survey; 2013; Revilla, M., Saris, W. E.
- A comparison of data quality and practicality of online versus postal questionnaires in a sample of...; 2013; King, M. T., Butow, P., Olver, I., Smith, A. B.
- The efficiency and effectiveness of mixed mode versus single mode designs; 2012; Blunsdon, B.
- The National Survey of College Graduates: Developing a Web Data Collection Component; 2012; Thornton, T.
- Mixed Mode: Phone and Web Discussion on Efficient Strategies; 2012; Gagnon, M.
- Effects of visual and aural communication of categorical response options on answers to survey questions...; 2012; Lynch, P., Hope, S., Jaeckle, A., Campanelli, P., Nicolaas, G.
- Online Surveys Aren't Just for Computers Anymore! Exploring Potential Mode Effects between Smartphone...; 2012; Buskirk, T. D., Andrus, C.
- Comparing Face-to-Face and Online Approach: Household Recruitment of Consumer Panel in China; 2012; Jin, T., Lin, Y.-C., Duan, S., Lai, J. W.