Event

Rethinking Disability Measurement in Surveys

This event is organised as part of the ongoing City St Georges, ESS and NatCen webinar series
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Seminar Series - City and ESS
  • Event time:
    9th June 2026 12:00 – 13:00
  • Format:
    online

The social model of disability recognises that people are disabled by barriers experienced in society, not by their impairments.

Despite the growing popularity of the social model, most national and international social and health surveys continue to measure disability using medical model-based definitions, which frame impairments as the disabling factor.

These data are used to inform policy and decisions relating to disabled people, and the delivery of services across Wales.

The Welsh Government commissioned the National Centre for Social Research (NatCen) to develop and test a suite of social model-aligned survey questions, offering a viable alternative to medical model approaches that currently dominate disability data collection in the UK and beyond.

The methodology followed the Respondent Centred Design Framework, putting the participant at the centre of the research.

The discovery phase established the needs of data users; reviewed existing UK and international survey measures; and, through deliberative workshops, explored disabled people’s requirements for any new survey questions.

The alpha phase commenced with iterative question design to improve on the current UK harmonised standard on impairments and to draft new questions on the barriers experienced by people with impairments.

Questions then underwent cognitive testing, with 56 interviews conducted in English and Welsh, with adults, and parents of disabled children. This included early stage British Sign Language (BSL) and easy read testing.

Quantitative field testing (n=2,507; 57% response rate) on the NatCen opinion panel enabled comparisons between social model and the more conventional harmonised medical model-based estimates of disability. Two, alternative, but complementary, social model-based definitions of disability were constructed and measured, collectively capturing the types of barriers experienced as well as the areas of life these are experienced in.

No significant differences were observed in the percentage of the population that were categorised as disabled according to each model.

Findings demonstrate the efficacy of the social model approach in collecting more inclusive impairment data, while providing new insight into the types of societal barriers faced by disabled people.

The new questions are recommended for wider adoption in surveys and data collection to help build evidence on how they perform.

Further developments are proposed for BSL, easy read versions, parent versions, and face to face data collection.

Speakers

  • Laura Tolland
    Laura Tolland is a senior researcher in the Disability Disparity Evidence Unit at the Welsh Government. Her current work focuses on enhancing the quality and availability of data and evidence, to reduce inequalities and improve accessibility and inclusion for disabled people in Wales. Recent areas of research include: the social model of disability, embedding accessibility across research and reporting processes, and assessing how British Sign Language data are collected. Equality and inclusion have been central to Laura’s career, arising from her early work with students with a wide range of additional needs. Working in an accessible way and embedding the principles of the social model of disability had positive impacts and enabled the students to thrive and succeed. Her work on the UN Sustainable Development Goals and the international commitment to ‘leave no one behind’ further reinforced the importance of developing a more inclusive society for disabled people and those with protected and associated characteristics.
  • Lisa Rutherford
    Lisa Rutherford is a Research Director based in NatCen’s dedicated questionnaire development and testing hub. Along with hub colleagues, she devotes her time to crafting and refining respondent centred questionnaires and other survey materials. Most of the team’s work comprises cognitive, cogability and user testing to help clients, and survey research colleagues, create clear, effective questions that accurately capture respondents' opinions. Recent research Lisa has been involved has included cross-national cognitive testing on the European Social Survey and understanding the user journey of parents and children on EOPS, a longitudinal study funded by the Department for Education to track children’s development. Lisa has a particular interest in collecting data on sex and gender in surveys. Her interests now extend to survey data collection on disability since working on this study and she is involved in NatCen’s ongoing efforts to improve inclusivity in surveys.