Tips for communicating the impact of COVID-19
These tips suggest some things to consider if your statistical outputs have been affected by the pandemic.
Learn more on Tips for communicating the impact of COVID-19The guidance hub contains resources and reference information to help you with all aspects of your analytical work.
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These tips suggest some things to consider if your statistical outputs have been affected by the pandemic.
Learn more on Tips for communicating the impact of COVID-19What we mean by ‘user-centred design’ User-centred design is defined as learning about the needs of those who will use your service and designing it to meet them. In terms…
Learn more on User-centred design approach to surveysGuidance on monitoring and reducing respondent burden when carrying out statistical surveys.
Learn more on Monitoring and reducing respondent burdenGuidance on what to consider when creating and publishing infographics.
Learn more on Data visualisation: infographicsThis guidance advises on how to quality assure data sources.
Learn more on Tips for urgent quality assurance of dataThis guidance aims to help researchers adapt some of their research methods to remote working.
Learn more on Remote testing survey questionsThis guidance has been drawn up to support producers of official statistics who need to decide when to pause or continue data collections during the coronavirus (COVID-19) pandemic.
Learn more on Data collection considerations during the COVID-19 pandemicTop tips on how to maintain quality when designing surveys at pace.
Learn more on Tips for maintaining quality when designing surveys at paceThe Office for Statistics Regulation (OSR) have published guidance documents regarding coronavirus (COVID-19) and the regulation of statistics.
Learn more on CCOVID-19 and the regulation of statisticsThis guidance sits alongside “Tips for urgent quality assurance of data”. This guidance focuses on the analysis, that guidance looks at the data used in the analysis.
Learn more on Tips for urgent quality assurance of ad-hoc statistical analysis