ESS Research Fellow
Edifici Mercè Rodoreda 24, Despatx 24.406


phone: 93.542.1162

email   CV    

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 (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: 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:

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: 10.1080/10705511.2014.934767

Revilla, 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:

Revilla, M. (2010) "Quality in Unimode and Mixed-Mode designs: A Multitrait-Multimethod approach" Survey Research Methods 4(3): pp. 151-164.

Saris, W., Revilla, M., Krosnick, J.A., and Shaeffer, E.M. (2010) "Comparing Questions with Agree/Disagree Response Options to Questions with Construct-Specific Response Options" Survey Research Methods, 4(1): pp. 61-79.

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). Funding: European Commission.

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).