Web Survey Bibliography
Although the majority of research focuses on the risks and disadvantages of online gaming, the present authors suggest that online games also represent new ways of satisfying basic human needs within the conditions of modern society. The aim of our present study was to reveal and operationalize the components of the motivational basis of online gaming. A total 3,818 persons (90.6% males; mean age 20.9 years, SD = 5.81) were recruited through websites providing online games. A combined method of exploratory and confirmatory factor analysis was applied. The results confirmed our preliminary model as we identified seven motivational factors (social, escape, competition, coping, skill development, fantasy, and recreation), which were used to develop the 27-item Motives for Online Gaming Questionnaire (MOGQ). The seven dimensions identified seem to cover the full range of possible motives for gaming, and the MOGQ proved to be an adequate measurement tool to assess these motives.
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Web survey bibliography - Behavior Research Methods (16)
- Use of Internet panels to conduct surveys; 2015; Kapteyn, A.; Liu, H., D.Hays, R. D.
- QRTEngine: An easy solution for running online reaction time experiments using Qualtrics; 2014; Barnhoorn, J. S., Haasnoot, E., Bocanegra, B. R., van Steenbergen, H.
- Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis; 2014; Gnambs, T., Kaspar, K.
- Build your own social network laboratory with Social Lab: a tool for research in social media; 2014; Garaizar, P., Reips, U.-D.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- Why do you play? The development of the motives for online gaming questionnaire (MOGQ); 2011; Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Zilahy, D., Mervó, B., Reindl, A., Agoston,...
- Seriousness Checks are Useful to Improve Data Validity in Online Research; 2010; Diedenhofen, D., Aust, F., Ullrich, S., Musch, J.
- Differences in responses to Web and paper surveys among school professionals; 2010; Yetter, G., Capaccioli, K.
- Making small effects observable: Reducing error by using visual analogue scales; 2009; Funke, F., Reips, U.-D.
- Comparison of ability tests administered online and in the laboratory; 2009; Marten Ihme, J., Lemke, F., Lieder, K., Martin, F., C. C., Schmidt, Sa., Mueller, J. C.
- A decade of Internet-based data collection: Time is ripe for combining e-learning with i-science; 2009; Reips, U.-D.
- The effect of varying the number of response alternatives in rating scales: Experimental evidence from...; 2009; Maydeu-Olivares, A., Kramp, U., García-Forero, C., Gallardo-Pujol, D., Coffman, D.
- Timing accuracy of Web experiments: A case study using the WebExp software package; 2009; Keller, F., Gunasekharan, S., Mayo, N., Corley, M.
- Using the World-Wide Web to obtain large-scale word norms: 190,212 ratings on a set of 2,654 German...; 2009; Lahl, O., Goeritz, A., Pietrowsky, R., Rosenberg, J.
- Individual payments as a longer-term incentive in online panels ; 2008; Goeritz, A., Wolff, H.-G., Goldstein, D. G.
- The Web experiment list: A Web service for the recruitment of participants and archiving of Internet...; 2005; Reips, U. -D., Lengler, R.