Oriol Bosch-Jover

Oriol Bosch-Jover

Research Student

Department of Methodology

Connect with me

English, Spanish
Key Expertise
Survey Methodology, Data Quality, Political Behaviour, Fake News

About me

Oriol Bosch is a PhD candidate in Social Research Methods supervised by Professor Patrick Sturgis and Professor Jouni Kuha.

Oriol is a Researcher at the Research and Expertise Centre for Survey Methodology (RECSM). He holds a BA in Political Science from Universitat Pompeu Fabra (UPF) and an MSc in Survey Methods for Social Research from the University of Essex. Previously he worked as a Research Officer at the Institute for Social and Economic Research (ISER) at the University of Essex.

As a survey methodologist, Oriol specialises in topics related to measurement quality, web and mobile surveys and the use of new data types (e.g. Big Data, mobile apps and sensors and wearables) to enhance or substitute surveys, and the effect of these on data quality. Specifically, Oriol’s work has explored the impact on data quality of using novel data types to answer survey questions as images, voice memos and emojis. Moreover, he has expertise in the use and design of MultiTrait-MultiMethod (MTMM) experiments to disentangle the measurement quality of survey questions, and how to improve their design.

Oriol has also experience consulting and collaborating with institutions to improve how they design and conduct surveys. He has worked with the European Social Survey (ESS) analysing the quality of their survey questions and their sampling design. Besides, he is or has been involved in several innovative and exciting projects as the ERC’S WEB DATA OPP project, Netquest Research Lab and the CROss-National Online Survey (CRONOS). In terms of experience working with non-departmental public bodies, he has worked as a consultant for the Money Advice Service, helping them develop a longitudinal survey of people in debt. 

For his PhD, Oriol is developing a framework for combining metered data (aka web log data or online behavioural data) and survey data.


Bosch, O.J., Revilla, M., Qureshi, D.D., Hohne, J.K. (2022)."A new experiment on the use of images to answer web survey questions". Journal of the Royal Statistical Society: Series A (Statistics in Society). 1–26.

Bosch, O.J. and Revilla, M. (2022). "The Challenges of Using Digital Trace Data to Measure Online Behaviors: Lessons From a Study Combining Surveys and Metered Data to Investigate Affective Polarization". SAGE Research Methods Cases.

Bosch, O.J. and Revilla, M. (2021). “The Quality of Survey Questions in Spain: A CrossNational Comparison”. Revista Española de Investigaciones Sociológicas, 175: 3-26. 

Bosch, O.J., and M. Revilla (2020). “Using emojis in mobile web surveys for Millennials? A study in Spain and Mexico" Quality & Quantity.

Revilla, M., Couper, M.P., Bosch, O.J., and A. Asensio (2020). "Testing the use of voice input in a smartphone web survey.” Social Science Computer Review 38(2), 2017-224.

Bosch, O.J., Revilla, M. and E. Paura (2019). "Do Millennials differ in terms of survey participation?" International Journal of Market Research 61(4), 359-365.

Revilla, M., Bosch, O.J., and W. Weber (2019). "Unbalanced 3-group Split-Ballot Multitrait-Multimethod design?" Structural Equation Modeling: A Multidisciplinary Journal 26(3), 437-447.

Bosch, O.J., Revilla, M. and E. Paura (2019). "Answering mobile surveys with images: an exploration using a computer vision API." Social Science Computer Review 37(5), 669-683.

Bosch, O.J., Revilla, M., DeCastellarnau, A. and W. Weber (2018). "Measurement reliability, validity and quality of slider versus radio button scales in an online probability-based panel in Norway." Social Science Computer Review 37(1), 119–132.