Melanie Revilla is a postdoctoral researcher at the Research and Expertise Centre for Survey Methodology (RECSM) and an adjunct professor at Universitat Pompeu Fabra (UPF, Barcelona, Spain). She received her PhD from Universitat Pompeu Fabra in 2012, in the areas of statistics and survey methodology, under the supervision of professors Willem Saris (UPF) and Peter Lynn (Essex University). Her dissertation dealt with the effects of different modes of data collection on the quality of survey questions. She graduated in statistics and economics at the 'Ecole nationale de la statistique et de l'administration économique' (ENSAE-Paritech, Paris, France) and holds a Master of Science in Economics from the Barcelona Graduate School of Economics (Spain). Besides the impact of the mode of data collection, she is interested in all aspects of survey methodology.
Most important publications over the last 5 years:
Revilla,M.,Toninelli,D., Ochoa, C., and G. Loewe (2016). "Do online access panels really need toallow and adapt surveys to mobile devices?" Internet Research, 26(5). Available at: http://www.emeraldinsight.com/doi/abs/10.1108/IntR-02-2015-0032
Revilla, M., Toninelli, D., and C. Ochoa (2017). "An experiment comparing grids and item-by-item formats in web surveys completed through PCs and smartphones". Telematics and Informatics, 34(1): 30-42, February 2017. First published online: April 20, 2016. DOI:10.1016/j.tele.2016.04.002.
Revilla, M., Cornilleau, A., Cousteaux, A.S., Legleye, S., and P. de Pedraza (2016). "What is the gain in a probability-based online panel of providing Internet access to sampling units who previously had no access?" Social Science Computer Review, 34(4): 479-496. First published online: 16 June 2015. DOI: 10.1177/0894439315590206
Revilla, M. (2016). "Impact of raising awareness of respondents on the measurement quality in a web survey". Quality and Quantity, 50(4), 1469-1486. First published online on May 9, 2015. DOI: 10.1007/s11135-015-0216-y
Revilla, M., Ochoa, C., and G. Loewe (2016). "Using passive data from a meter to complement survey data in order to study online behavior." Social Science Computer Review, First published online on March 17, 2016. DOI:10.1177/0894439316638457.
Revilla, M., Ochoa, C., and A. Turbina (2016). "Making use of Internet interactivity to propose a dynamic presentation of web questionnaires." Quality and Quantity. First published online on 29 March 2016. DOI 10.1007/s11135-016-0333-2.
Revilla, M., and C. Ochoa (2015). "Quality of Different Scales in an Online Survey in Mexico and Colombia". Journal of Politics in Latin America, 7(3): 157-177. Available at: http://journals.sub.uni-hamburg.de/giga/jpla/article/view/903/910.
Revilla, M., Toninelli, D., Ochoa, C., and G. Loewe (2015). "Who has access to mobile devices in an online opt-in panel? An analysis of potential respondents for mobile surveys". In D. Toninelli, R. Pinter, and P. de Pedraza (eds), Mobile Research Methods: Opportunities and challenges of mobile research methodologies, pp. 119-139 (Chapter 8). London: Ubiquity Press. DOI: http://dx.doi.org/10.5334/bar.h. License: CC-BY 4.0.
Revilla, M. (2014). "Effect of using different labels for the scales in a web survey". International Journal of Market Research. Published online first: https://www.mrs.org.uk/ijmr_article/article/101773
Revilla, M., Saris, W.E., and Krosnick, J.A. (2013) "Choosing the number of categories in agree-disagree scales". Sociological Methods and Research February 2014 43: 73-97, first published online on December 10, 2013 doi:10.1177/0049124113509605
Revilla, M. (2014). "Comparison of the quality estimates in a mixed-mode and a unimode design: an experiment from the European Social Survey", Quality and Quantity. Published online first 13 of June 2014. DOI: 10.1007/s11135-014-0044-5
Revilla, M. and C. Ochoa (2014). "What are the links in a web survey among response time, quality, and auto-evaluation of the efforts done?" Social Science Computer Review, 0894439314531214, first published online on May 14, 2014. doi:10.1177/0894439314531214
Revilla, M., Zavala Rojas, D., and W.E. Saris (forthcoming). "Creating a good question: How to use cumulative experience". In Christof Wolf, Dominique Joye, Tom W. Smith and Yang‐Chih Fu (editors), The SAGE‐Handbook of Survey Methodology. SAGE.
Batista-Foguet, J.M, Revilla, M., Saris, W.E, Boyatzis, R., and R. Serlavós. (2014). "Reassessing the Effect of Survey Characteristics on Common Method Bias in Emotional and Social Intelligence Competencies Assessment". Structural Equation Modeling: A Multidisciplinary Journal, Published online: 21 Aug 2014. DOI: 10.1080/10705511.2014.934767Revilla, M. (2013). "Measurement invariance and quality of composite scores in a face-to-face and a web survey", Survey Research Methods, 7(1); pp. 17-28.
Revilla, M. and Saris, W. (2013). "A comparison of the quality of questions in a face-to-face and a web survey", International Journal of Public Opinion Research, 25(2); pp. 242-253. First published online: April 17, 2012. doi: 10.1093/ijpor/eds007.
Revilla, M. and Saris, W. (2013) "The Split-ballot Multitrait-Multimethod Approach: Implementation and Problems", Structural Equation Modeling: A Multidisciplinary Journal, 20(1); pp. 27-46.
Revilla, M. (2012) "Impact of the mode of data collection on the quality of answers to survey questions depending on respondents' characteristics", Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 116: pp. 44-60. doi: 10.1177/0759106312456510.
Oberski, D.L., Weber, W., and Revilla, M. (2012) "The effect of individual characteristics on reports of socially desirable attitudes towards immigration", in S. Salzborn, E. Davidov and J. Reinecke (eds.) Methods, Theories, and Empirical Applications in the Social Sciences: Festschrift for Peter Schmidt. Springer; pp. 151-158. Link: http://www.springer.com/springer+vs/soziologie/book/978-3-531-17130-2
Most recent research projects:
Synergies for Europe's Research Infrastructures in the Social Sciences (SERISS), (2015-2019). Funding: Horizon 2020-European Commission.European Social Survey- European Research Infrastructure Consortium (ESS-ERIC), (2015-2017).
European Social Survey - European Research Infrastructure Consortium (ERIC) (2013-2017). Funding: European Commission.
Collaboration in the creation of the Netquest methodological research unit, R2online, Research on Research Online (started in 2012, ongoing)
The European Social Survey: Data for a Changing Europe (DACE) (2010-2014) Funding: European Commission. Code: 262208
"European Social Survey Infrastructure - Improving Social Measurement in Europe". European Commission Sixth Framework Programme - Infrastructures. Project Reference: 26042. Project Acronym: ESSi. Under the supervision of Prof. Willem E. Saris. (2009-2012).