Lynn, P., Bianchi, A. and Gaia, A. (2023) The impact of day of mailing on web survey response rate and response speed. Social Science Computer Review, 0(0). https://doi.org/10.1177/08944393231173887
Boerio, P., Garavaglia, E., and Gaia, A. (2021). Active Ageing in Europe: Are Changes in Social Capital Associated with Engagement, Initiation and Maintenance of Activity in Later Life? Ageing and Society, 1-19. doi:10.1017/S0144686X21001021
Sala, E., Gaia, A., and Cerati, G. (2021) Are social media users more satisfied with their life than non-users? A study on older people in Italy. Ageing and Society, 1-13. doi:10.1017/S0144686X21000416.
Gaia, A. (2021) COVID-19 virus diffusion in Italy: data quality and methodological challenges. Rassegna Italiana di Sociologia, 62(1):11-37, doi: 10.1423/100620
Gaia, A., and Sala, S. 2021. Data quality during the Covid-19 pandemic in Italy. Challenges and solutions. Introduction. Rassegna Italiana di Sociologia, 62(1):7-10
Gaia, A., Sala, E., and 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.
Wenz, A., Al Baghal, T., and 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): 73–93.
Sala, E., Gaia, A., and Cerati, G. (2020). The grey digital divide in Social Networking Site use in Europe. Results from a quantitative study. Social Science Computer Review (Online First).
Sala, E., and Gaia, A. (2019) Older people’s use of Information and Communications Technologies in Europe. The Italian case. Autonomie Locali e Servizi Sociali, 2: 163–183.
Gaia, A., and Al Baghal, T. (2019) The Longitudinal Item Count Technique: a new technique for asking sensitive questions in surveys. Methods Data Analysis 13(1):111–37.
Thornby, M., Calderwood, L., Kotecha, M., Beninger, K., and Gaia, A. (2018) Collecting data linkage consents in a mixed mode survey: Evidence and lessons learnt from Next Steps. Survey Methods: Insights from the Field (SMIF).
Jäckle, A., Couper. M. P., Gaia, A., and Lessof, C. (2021) Improving survey measurement of household finances: A review of new technologies and data sources. In P. Lynn Advances in Longitudinal Survey Methodology, Wiley Series in Survey Methodology. pp. 337-367
Gaia, A., (2021) The Item Count Technique. In P. A. Atkinson, A. Cernat, S. Delamont, J. W. Sakshaug, R. Williams (eds.), SAGE Research Methods Foundations. Vol. 5, pp. 2537-2544. London, UK: SAGE Publishing.
Gaia, A. (2021) Social Desirability Bias and Sensitive Questions in Surveys. In P. A. Atkinson, A. Cernat, S. Delamont, J. W. Sakshaug, R. Williams (Eds.), SAGE Research Methods Foundations. Vol. 9, pp. 4539-4545. London, UK: SAGE Publishing.
Burton, J., Crossley, T. F., Fisher, P., Gaia, A., Jäckle, A. Understanding and reducing income reporting error in household surveys. Revise and resubmit at Oxford Bulletin of Economics and Statistics.
Gaia, A., Sala, E. and Respi, C. Internet coverage bias in web surveys in Europe. Under review.
Lynn, P., Bianchi, A. and Gaia, A. 2021. The impact of day of mailing on web survey response rate and response speed. Understanding Society Working Paper Series 2021-07. Available at: https://www.understandingsociety.ac.uk/research/publications/546995
Burton, J., Crossley, T. F., Fisher, P., Gaia, A., Jäckle, A. 2020. Understanding and reducing income reporting error in household surveys. Colchester: Institute for Social and Economic Research.
Jäckle, A., Gaia, A., Lessof, C., and Mick P. C. 2019. A review of new technologies and data sources for measuring household finances: implications for total survey error. Colchester: Institute for Social and Economic Research.
Gaia, A. 2017. The Effect of Respondent Incentives on Panel Attrition in a Sequential Mixed-mode Design. Colchester: Institute for Social and Economic Research.
Gaia, A. (ed.) 2017. Understanding Society Innovation Panel Wave 9: Results from Methodological Experiments. Colchester: Institute for Social and Economic Research.
Thornby, M., Calderwood, L., Kotecha, M., Beninger, K. and Gaia, A. 2017. Collecting Multiple Data Linkage Consents in a Mixed Mode Survey: Evidence and Lessons Learnt from Next Steps. London: Centre for Longitudinal Studies.
Jäckle, A., Gaia, A. and Benzeval, M. 2018. The use of new technologies to measure socio-economic and environmental concepts in longitudinal studies. London: UCL Institute of Education.
Jäckle, A., Gaia, A. and Benzeval, M. 2017. Mixing Modes and Measurement Methods in Longitudinal Studies. London: UCL Institute of Education.
Jäckle, A., Gaia, A., Al Baghal, T., Burton, J. and Lynn, P. 2017. Understanding Society The UK Household Longitudinal Study Innovation Panel, Waves 1-9, User Manual. Colchester: Institute for Social and Economic Research.
Villar, A., Sommer, E., Finnøy, D., Gaia, A., Berzelak, N., and Bottoni, G. 2018. CROss-National Online Survey (CRONOS) Panel Data and Documentation User Guide. London: ESS ERIC.