Research fellow
Academic disciplines
Sociologia generale (SPS/07)


Alessandra Gaia (Ph.D.) is a Research Fellow at the University of Milan-Bicocca. Previously she worked as a survey manager at the European Social Survey Headquarters (City, University of London) and at the UCL Centre for Longitudinal Studies; also, she worked as survey researcher at the Institute for Social and Economic Research of the University of Essex. She is general secretary of the European Survey Research Association and advisory editor for the journal Quality and Quantity: International Journal of Methodology. She teaches Quantitative methods for surveying hard-to-reach populations at the Essex Summer School in Social Science and Data Analysis. Her research interests are in the area of survey methodology and in the field of ageing.

She obtained the Italian national scientific accreditation (Abilitazione Scientifica Nazionale, ASN) for associate professor for the sector  general sociology (14/C1) – valid from 01/02/2022 to 01/02/2031.


  • Gaia, A. (2021). Social Desirability Bias and Sensitive Questions in Surveys. In P. Atkinson, S. Delamont, A. Cernat, J.W. Sakshaug, R.A. Williams (a cura di), SAGE Research Methods Foundations - Vol. 9 (pp. 4539-4545). London : Sage [10.4135/9781526421036928979]. Dettaglio

  • Jäckle, A., Couper, M., Gaia, A., Lessof, C. (2021). Improving survey measurement of household finances: A review of new technologies and data sources. In P. Lynn (a cura di), Advances in Longitudinal Survey Methodology (pp. 337-367). John Wiley & Sons, Ltd.. Dettaglio

  • Gaia, A. (2021). COVID-19 virus diffusion in Italy: data quality and methodological challenges. RASSEGNA ITALIANA DI SOCIOLOGIA, 62(1), 11-37 [10.1423/100620]. Dettaglio

  • Gaia, A., Sala, E., & Cerati, G. (2021). Social networking sites use and life satisfaction. A quantitative study on older people living in Europe. EUROPEAN SOCIETIES, 23(1), 98-118 [10.1080/14616696.2020.1762910]. Dettaglio

  • Wenz, A., Al Baghal, T., & Gaia, A. (2021). Language proficiency among respondents: implications for data quality in a longitudinal face-to-face survey. JOURNAL OF SURVEY STATISTICS AND METHODOLOGY, 9(1 (February 2021)), 73-93 [10.1093/jssam/smz045]. Dettaglio

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