Web Survey Bibliography
Psychologists, psycholinguists, and other researchers using language stimuli have been struggling for more than 30 years with the problem of how to analyze experimental data that contain two crossed random effects (items and participants). The classical analysis of variance does not apply; alternatives have been proposed but have failed to catch on, and a statistically unsatisfactory procedure of using two approximations (known as F 1 and F 2) has become the standard. A simple and elegant solution using mixed model analysis has been available for 15 years, and recent improvements in statistical software have made mixed models analysis widely available. The aim of this article is to increase the use of mixed models by giving a concise practical introduction and by giving clear directions for undertaking the analysis in the most popular statistical packages. The article also introduces the djmixed add-on package for SPSS, which makes entering the models and reporting their results as straightforward as possible.
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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.