Oriol J. Bosch

Oriol J. Bosch

A Survey Methodologist in the era of Big Data

Postdoctoral Researcher at the University of Oxford, Leverhulme Centre for Demographic Science

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portfolio

publications

Measurement Reliability, Validity, and Quality of Slider Versus Radio Button Scales in an Online Probability-Based Panel in Norway

Published in Social Science Computer Review, 2019

We estimate the measurement quality of sliders compared to radio button scales controlling for the device respondents used. To do so conducted two multitrait–multimethod (MTMM) experiments in the Norwegian Citizen Panel (NCP), a probability-based online panel. Read more

Recommended citation: Bosch, O. J., Revilla, M., DeCastellarnau, A., & Weber, W. (2019). 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. https://journals.sagepub.com/doi/abs/10.1177/0894439317750089

Answering mobile surveys with images: an exploration using a computer vision API

Published in Social Science Computer Review, 2019

In this article we investigate the viability of asking respondents of an online opt-in panel to upload during a mobile web survey: First, a photo taken in the moment, and second, an image already saved on their smartphone. In addition, we test to what extent the Google Vision application programming interface (API) produces similar tags than a human coder. Read more

Recommended citation: Bosch, O. J., Revilla, M., & Paura, E. (2019). Answering mobile surveys with images: an exploration using a computer vision API. Social Science Computer Review, 37(5), 669-683. https://journals.sagepub.com/doi/abs/10.1177/0894439318791515

Unbalanced 3-Group Split-Ballot Multitrait–Multimethod Design?

Published in Structural Equation Modeling: A Multidisciplinary Journal, 2019

In this article we investigate if groups of unequeal sample sizes can be used in 3-group split-ballot multitrait-multimethod (SB-MTMM) experiments Read more

Recommended citation: Revilla, M., Bosch, O. J., & Weber, W. (2019). Unbalanced 3-Group Split-Ballot Multitrait–Multimethod Design?. Structural Equation Modeling: A Multidisciplinary Journal, 26(3), 437-447. https://www.tandfonline.com/doi/abs/10.1080/10705511.2018.1536860

Do Millennials differ in terms of survey participation?

Published in International Journal of Market Research, 2019

Using a dataset of 1,570,301 panelists of an opt-in online panel in eight countries from Europe, Latin America, and North America, we show that Millennials differ from older cohorts in terms of survey participation Read more

Recommended citation: Bosch, O. J., Revilla, M., & Paura, E. (2019). Do Millennials differ in terms of survey participation?. International Journal of Market Research, 61(4), 359-365. https://journals.sagepub.com/doi/abs/10.1177/1470785318815567

Testing the Use of Voice Input in a Smartphone Web Survey

Published in Social Science Computer Review, 2020

We implemented an experiment within a smartphone web survey to explore the feasibility of using voice input (VI) options to answer open-ended questions. Read more

Recommended citation: Revilla, M., Couper, M. P., Bosch, O. J., & Asensio, M. (2020). Testing the use of voice input in a smartphone web survey. Social Science Computer Review, 38(2), 207-224. https://journals.sagepub.com/doi/abs/10.1177/0894439318810715

Using emojis in mobile web surveys for Millennials? A study in Spain and Mexico

Published in Quality and Quantity: International Journal of Methodology, 2020

In this article we determine how emojis can be used in mobile web surveys, in particular in open-ended questions, and how their use can affect data quality, completion time, and survey evaluation Read more

Recommended citation: Bosch, O. J., & Revilla, M. Using emojis in mobile web surveys for Millennials? A study in Spain and Mexico. Quality & Quantity: International Journal of Methodology, 1-23. https://link.springer.com/article/10.1007/s11135-020-00994-8

The quality of survey questions in Spain: a cross-national comparison

Published in Spanish Journal of Sociological Research, 2021

Using a Split-Ballot Multitrait-Multimethod experiment conducted in the European Social Survey round 8, we compare the quality of questions in Spain with their quality in other participating countries, as well as the consequences of not accounting for measurement errors when conducting cross-national research Read more

Recommended citation: Bosch, O. J., & Revilla, M. The quality of survey questions in Spain: a cross-national comparison. Revista Española de Investigaciones Sociológicas, 175: 3-26. http://www.reis.cis.es/REIS/PDF/REIS_175_01_ENG1623064444202.pdf

The challenges of using digital trace data to measure online behaviors: lessons from a study combining surveys and metered data to investigate affective polarization

Published in SAGE Research Methods Cases, 2022

This case study describes the data collection strategy of the TRI-POL project, which represents the first attempt to collect both longitudinal survey and digital trace data, from the same individuals, to understand whether and how the Internet and social media are related to affective polarization across Southern European and Latin American countries Read more

Recommended citation: Bosch, O. J., & 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.In SAGE Research Methods Cases. https://dx.doi.org/10.4135/9781529603644 https://methods.sagepub.com/case/digital-trace-data-measure-online-behaviors-surveys-metered-data

A new experiment on the use of images to answer web survey questions

Published in Journal of the Royal Statistical Society: Series A, 2022

In this experiment we explore the impact on several data quality indicators of asking participants to answer open-ended questions with images, instead than with text Read more

Recommended citation: Bosch, O.J., Revilla, M., Qureshi, D.D. & Höhne, 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. Available from: https://doi.org/10.1111/rssa.12856 https://doi.org/10.1111/rssa.12856

When survey science met web tracking: presenting an error framework for metered data

Published in Journal of the Royal Statistical Society: Series A, 2022

In this paper we present a Total Error Framework for Digital Trace Data / Web Tracking data. We show how to use web tracking to measure what people do online, the errors to expect when doing so, and best practices informed by a real case study Read more

Recommended citation: Bosch, O.J., Revilla, M. (2022) When survey science met web tracking: presenting an error framework for metered data. Journal of the Royal Statistical Society: Series A (Statistics in Society), 1-29: https://doi.org/10.1111/rssa.12956 https://doi.org/10.1111/rssa.12956

The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022)

Published in Data in Brief, 2023

In this paper we present the TRI-POL dataset: a cross-national and longitudinal dataset of survey and web tracking data aimed at exploring the triangle of interactive relationships between affective and ideological polarisation, political distrust, and the politics of party competition Read more

Recommended citation: Torcal, M., Carty, E., Comellas, J. M., Bosch, O. J., Thomson, Z., & Serani, D. (2023). The dynamics of political and affective polarisation: Datasets for Spain, Portugal, Italy, Argentina, and Chile (2019-2022). Data in Brief: https://doi.org/10.1016/j.dib.2023.109219 https://doi.org/10.1016/j.dib.2023.109219

Can Survey Scales Affect What People Report as A Fair Income? Evidence From the Cross-National Probability-Based Online Panel CRONOS

Published in Social Justice Research, 2023

As the title clearly states, this paper explores the question: Can Survey Scales Affect What People Report as A Fair Income? We do so by using an MTMM experiment in an online probability-based panel in Great Britain, Estonia and Slovenia Read more

Recommended citation: Michaud, A., Bosch, O.J. & Sauger, N. Can Survey Scales Affect What People Report as A Fair Income? Evidence From the Cross-National Probability-Based Online Panel CRONOS. Soc Just Res (2023). https://doi.org/10.1007/s11211-023-00410-0 https://doi.org/10.1007/s11211-023-00410-0

talks

teaching

Improving web panel respondent behaviour: The effect of encouragement messages throughout the course of the survey

CRONOS, Work Package 7: A survey future online, 2018

In this reports we establish the impact of motivational messages in web surveys on data quality, using an experiment conducted in waves 2, 4 and 6 of the CROss-National Online Survey (CRONOS) panel Read more

Recommended citation: Bosch, O.J., Weber, W., and M. Revilla (2018) Improving web panel respondent behaviour: The effect of encouragement messages throughout the course of the survey. Deliverable 7.12of the SERISS project funded under the European Union’s Horizon 2020 research and innovation programme GA No: 654221. Available at: https://seriss.eu/wp-content/uploads/2018/10/SERISS-Deliverable-7.12-Strategies-to-improve-panelist-responding-behaviour.pdf

When survey science met online tracking: presenting an error framework for metered data

RECSM Working Papers Series, 62, 2021

In this paper we present a framework of all errors that can occur when using metered data. To do so, we adapt the Total Survey Error framework to accommodate it to the specific error generating processes and error causes of metered data Read more

Recommended citation: Bosch, O.J., and M. Revilla (2021) When survey science met online tracking : presenting an error framework for metered data. http://hdl.handle.net/10230/46482 https://www.upf.edu/documents/3966940/6839730/WP62.pdf/16aaf443-c545-2f5a-faac-a2bb55dec4d6

Methodological Lessons from the Pilot Longitudinal Survey on Debt Advice

MoneyHelper, ISER Working Paper Series, 2021

This reports evaluates and analyses a pilot longitudinal survey of people in debt in the UK (2,025 participants). We report methodological lessons learned, aimed at identifying the best procedures to use on the new survey, and provide estimates of the sample size that would be needed. Read more

Recommended citation: Bosch, Oriol & Lynn, Peter, 2021. "Methodological lessons from the pilot longitudinal survey on debt advice," ISER Working Paper Series 2021-03, Institute for Social and Economic Research. https://finchley.essex.ac.uk/research/publications/working-papers/iser/2021-03.pdf

How do people feel about AI? A nationally representative survey of public attitudes to artificial intelligence in Britain

Ada Lovelace Institute and The Alan Turing Institute, Ada Lovelace Institute and The Alan Turing Institute, 2023

In late 2022 The Alan Turing Institute and the Ada Lovelace Institute conducted a nationally representative survey of over 4,000 members of the British public, to understand their awareness, experience and attitudes towards different uses of artificial intelligence (AI), including views and expectations on how these technologies should be regulated and governed. Read more

Recommended citation: Ada Lovelace Institute and The Alan Turing Institute, How do people feel about AI? A nationally representative survey of public attitudes to artificial intelligence in Britain (2023) . Available at: https://adalovelaceinstitute.org/report/public-attitudes-ai https://www.adalovelaceinstitute.org/report/public-attitudes-ai/