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  • Modelling the UK Dog population for RSPCA

    How the RSPCA used research to inform its policy work.

  • Analysing data

    Analysis is about making sense of the data you have collected. Analysing data will help you produce evaluation findings that you will be able to report on and use.

  • How to Collect Quantitative Data the Easy Way

    Monitoring and evaluation is important for project management and maintaining donor relations (for example by demonstrating impact).  Here's how to make data collection easy in any organisation.

  • How to analyse qualitative data for evaluation

    Qualitative data is data that is not numerical. It may include open-ended responses to questionnaires, data from interviews or focus groups, or creative responses such as photographs, pictures or videos. Analysing qualitative data will help you produce findings on the nature of change that individuals or organisations you work with have experienced. You may also be able to look at what aspects of the way you work have led to change. Analysis involves finding patterns and themes in the data you have collected for your evaluation. Analysing your data will help you report on it effectively and use it to make decisions . You may have started your evaluation with questions you wanted to answer – for example, have we achieved our intended outcomes, or have we reached the individuals and organisations that we expected to? Analysis will help you to answer these questions.  

  • How to present research findings

    A network I participate in was recently asked the question: "if anyone on the list has gone from academia into policy research of any kind and has given presentations based on academic research to think tanks, government departments, NGOs or similar and had any useful insights? " Now it's some time since I was part of the academic world (I daren't call myself a former academic), but on the basis that I am no expert, the following seem to work for me. What would you add?

  • How to analyse quantitative data for evaluation

    Analysis involves finding patterns and themes in the data you have collected for your evaluation to make sense of it. Analysing your data will help you report on it effectively  and use it to make decisions . You may have started your evaluation with questions you wanted to answer – for example, have we achieved our intended outcomes, or have we reached the individuals and organisations that we expected to? Analysis will help you to answer these questions.  Quantitative data is numerical – for example, responses to multiple choice or rating scale questions in a questionnaire. Analysing quantitative data will help you generate findings on how much change has occurred as a result of your work and who has experienced change.

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