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  • NatCen Centre for Analysis

    NatCen’s Centre for Analysis specialises in secondary analysis of survey and administrative data, collected by NatCen and available from external data sources (such as the UK Data Archive).

    We work with teams across the organisation to apply advanced analysis techniques for projects across a range of policy areas, and in collaboration with internal and external subject-area specialists. Recent projects have included analysis of topics related to financial and mental wellbeing, loneliness, problem gambling, volunteering and community connectedness, housing quality, financial resilience and workplace training.

    The Centre for Analysis designs and delivers projects using a range of advanced analytical techniques. We work in collaboration with customers to co-design analysis plans and projects to ensure that they meet their needs. We also work in partnership with colleagues across NatCen’s Policy Research Centre on mixed-methods projects, integrating findings from quantitative analysis into wider research projects.

  • Our team

    Get to know NatCen's Centre for Analysis

    Meet our team members

  • Society Watch 2022

     Join us for the launch of our third annual Society Watch report, which focuses on the social legacies of the COVID-19 pandemic.

    Sign up for the event

  • Project highlight

    Working with Sense, the national disability charity, we have conducted secondary analysis of the Family Resource Survey to estimate the prevalence of complex disabilities across the UK.

    Visit the project

  • Our work

    The Centre for Analysis has extensive experience of sourcing, preparing, analysing and reporting on analysis for grant-funded projects and tendered work. We are regularly involved in all stages of the research process, including proposing, designing, delivering and reporting on quantitative analysis for different audiences. Our project work can include:

    - Scoping out existing datasets that can be used to address specific research;

    - Producing an analysis plan, independently or in collaboration with clients, to address a specific research question or questions given the data and resources available;

    - Carrying out secondary data analysis using data supplied by clients or collaborators;

    - Producing visualisations presenting findings from analysis in an accessible and engaging manner;

    - Writing lay summaries of methods and findings for non-expert audiences;

    - Writing technical reports, or appendices, to detail data and methods used; and

    - Providing stand-alone syntax for data management and/or analysis to facilitate replicability.

      Our expertise

    For each analysis project, initial scoping will be carried out to identify the most appropriate analytical approach to use. This may include:

    - Linear or logistic regression – to estimate the relationships between explanatory variables and continuous, binary or categorical outcome variables while controlling for other relevant factors

    - Longitudinal analysis – to investigate if or how factors of interest have changed over time

    - Multi-level modelling – to take into account the nested structure of data (for example pupils in schools, or citizens in countries)

    - Factor analysis (or other dimension reduction techniques) – to identify broader, latent concepts that underpin multiple survey items

    - Latent class analysis – to estimate classes of people with similar profiles based on their responses to individual survey items

    - Imputation – to overcome issues caused by missing data

    - Data linkage – to combine and analyse data available from different sources

    Browse our projects

  • Blog

    Read in-depth analysis from our researchers 

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