A guide to inclusive social research practices – Annexes
Published 1 December 2022
1. Annex A: Additional support
This guide should serve as a starting point for researchers, analysts or policymakers who are scoping out a research project or new piece of analysis and should be largely relevant for a breadth of topic areas and contexts. However, this is not designed to be an exhaustive guide, as each project is different, and will use different research techniques to explore a specific question. If you want to ensure your work is inclusive, and have specific needs or queries on how to perform appropriate data analysis, collection, or reporting, please seek further advice and guidance from relevant groups, such as:
- The Inclusive Data Task Force (ONS): equalities@ons.gov.uk
- The Harmonisation team (ONS): Harmonisation@statistics.gov.uk
- The Government Equality Hub (CO)
2. Annex B: Table of the evidence sources linked to in the Guidance
(links valid at time of publication)
Resource Link | Description |
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GSR Strategy | Government Social Research 2021-2025 Strategy |
Healthwatch resources | How to co-produce with seldom heard groups |
Public Sector Equalities Duty | Equality and Human Rights Commission guidance on the Public Sector Equalities Duty |
Public Sector Equality Duty Quick Start Guide | Government Equalities Office guide for applying Public Sector Equality Duty principles |
IDTF Report | Report on the Inclusive Data Task Force’s recommendations |
Stakeholder Mapping | Paper on using stakeholder maps to inform public service design |
National LGBT Survey | National LGBT Survey research and summary reports |
Power Analysis | Academic paper outlining three simple rules to ensure reasonably credible subgroup analyses |
Sub-group analysis guide | Methods, challenges, and best practices for conducting subgroup analysis |
GSS Quota Sampling | Government Statistical Service guide to quota sampling |
GSR Quota Sampling | Government Social Research guide to quota sampling |
Sampling for qualitative research | Academic paper discussing approaches to sampling for qualitative research |
Sampling for qualitative research | Academic paper discussing approaches to sampling for qualitative research |
Quality in Qualitative Evaluation | Framework for assessing research evidence. In particular, quality in qualitative evaluation |
Sample Design and Estimation | Office for National Statistics guidance on sampling and making inferences about populations |
Co-production | Independant Scientific Pandemic Insights Group on Behaviours (SPI-B) guidance on co-production of guidance |
Peer Research | Paper by the Institute for Community Studies on Peer Research in the UK |
Research Fatigue | Academic paper on the causes and consequences of research fatigue |
Equalities Data Navigator Tool | Office for National Statistics tool for looking at equalities datasets |
Accessibility requirements for public sector bodies | GOV.UK guidance for accessibility requirements in the public sector |
Government Accessibility Guidance | GOV.UK guidance for making services accessible |
Creating accessible materials | University of Edinburgh guidance for creating accessible materials |
Covid-19 Vaccine Resources in alternative languages and accessible formats | NHS North Cumbria case study material of making information accessible in other languages |
SPI-B: Consensus on BAME communication | Independant Scientific Pandemic Insights Group on Behaviours (SPI-B) document recommending pre-testing research materials to assess accessibility |
Easy Read right case study | UK Health Security Agency case study on creating Easy Read materials |
Making written information easier to understand | Guidance from the Department of Health and Social Care on making written information easier to understand for people with learning disabilities |
Do’s and don’ts on designing for accessibility | GOV.UK blog on designing for different types of accessibility needs |
GSR Ethical Assurance Guide | Guidance on the expected standards and responsibilities when designing/conducting social and behavioural research for/on-behalf of government |
BPS Code of Human Research Ethics | British Psychological Society ethical guidelines for research with human participants |
ICO Guide to UK GDPR | Information Commissioner’s Office Guide to the UK General Data Protection Regulation |
Protected Characteristics | Equality and Human Rights Commission summary of protected characteristics |
Writing About Ethnicity | GOV.UK guidance on writing about ethnicity |
Ethnic group, national identity and religion | An Office for National Statistics guide for the collection and classification of ethnic group, national identity and religion data in the UK |
Difference Between Sex and Gender | Office for National Statistics summary of the difference between sex and gender |
Ethnicity data: how similar or different are aggregated ethnic groups? | Report from the Race Disparity Unit summarising some of the quality issues with the use and presentation of data for aggregated and detailed ethnicity classifications |
Harmonisation | Government Statistical Service guidance on statistical harmonisation |
Coherence | UK Statistics Authority background to statistical coherence |
Increasing participation amongst seldom heard groups | Academic paper on ‘reaching the hard to reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups’ |
Code of Practice for the Safety of Social Researchers | Social Research Association guidance on protecting social researchers when conducting fieldwork |
Doing Sensitive Research Sensitively | Discussion of the potential difficulties and tensions which may arise for researchers when conducting sensitive research |
Making research safer for everyone involved | GOV.UK blog post on ensuring safety in research |
Managing user research data and participant privacy | GOV.UK guide to the handling of research data |
Online Methods | Case studies on the challenges and opportunities for remote data collection |
Risks Associated with Aggregated Data | Academic paper on the role of racial/ethnic data disaggregation for health equity |
Addressing Compounding Disadvantage in Research | Discussion on the inclusion of different social categories in research and guidance on the use of life-story narratives |
Adopting a ‘Two-Pronged Approach’ | Academic paper on the approaches for addressing the intersection of different inequalities in research |
Type 1 and Type 2 Errors | Academic paper on the differences between means: type I and type II errors and power |
Introduction to Adjustment for Multiple Comparisons | A general introduction to adjustment for multiple comparisons. |
Bayesian Analysis | Examples demonstrating the practical advantages of Bayesian inference |
Multilevel Modelling | Learning and resources for modelling data with complex hierarchical structures |
Health and care harmonised standards | Office for National Statistics harmonised standards and guidance by topic |
ONS policy on protecting confidentiality in tables of birth and death statistics | Office for National Statistics policy on disclosure control for births and deaths statistics. |
American Psychological Association guide | Advice from the American Psychological Association on including quotations from research participants in |
Analysing and reporting qualitative data. | A how to guide from Kirkless Council on Analysing and reporting qualitative data |
GSR Publication Protocol | Protocol defines principles for the publication of all government social research that is not defined as official or national statistics. |
How to publish on GOV.UK | Guidance for government editors and publishers about how to create and edit documents and organisation pages for GOV.UK. |
3. Annex C: Inclusive Data Taskforce’s principles
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Create an environment of trust and trustworthiness which allows and encourages everyone to count and be counted in UK data and evidence.
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Take a whole system approach, working in partnership with others to improve the inclusiveness of UK data and evidence.
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Ensure that all groups are robustly captured across key areas of life in UK data and review practices regularly.
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Improve the UK data infrastructure to enable robust and reliable disaggregation and intersectional analysis across the full range of relevant groups and populations, and at differing levels of geography.
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Ensure appropriateness and clarity over the concepts being measured across all data collected.
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Broaden the range of methods that are routinely used and create new approaches to understanding experiences across the population of the UK.
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Harmonised standards for relevant groups and populations should be reviewed at least every five years and updated and expanded where necessary, in line with changing social norms and respondent and user needs.
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Ensure UK data and evidence are equally accessible to all, while protecting the identity and confidentiality of those sharing their data.