Search

Primary tabs

Show search hints

Search results

  1. C4D Hub: Synthesise data across studies (research, monitoring data, evaluations)

    Development Theme

    What is it?

    There are often questions beyond a single program or initiative, such as “Do these types of interventions work?” or “For whom, in what ways and under what circumstances do they work?” Answering these kinds of questions means locating the evidence, assessing the quality and relevance (and deciding whether or not to include it), extracting the relevant information, and synthesising it. The evidence may be sourced from bibliographic databases, unpublished studies, etc.

  2. C4D Hub: Sample

    Development Theme

    What is it?

  3. C4D Hub: Use measures, indicators or metrics

    Development Theme

    What are measures, indicators and metrics?

  4. C4D Hub: Develop recommendations

    Development Theme

    What is it?

  5. C4D Hub: Support use

    Development Theme

    What is it?

    Planning and pro-active actions are needed to support the utilisation of R,M&E findings. This support might be in the form of events (such as annual reviews) processes (such as written management responses, or recommendations tracking), or structures (such as learning committees or wikis). For evaluation reports and other discrete RM&E activities, time and resources should be built into the budget to account for support beyond report delivery.

  6. C4D Hub: Generalise findings

    Development Theme

    What is it?

    An evaluation usually involves some kind of generalisation of the findings to put forward analysis that predicts how the findings of one initiative might relate to future programs, other places and contexts, or other groups of people. Often it is assumed that statistical generalisation is the only way to generalise, but there are a range of options for undertaking this task.

  7. C4D Hub: Manage Data

    Development Theme

    What is it?

  8. C4D Hub: Combine qualitative and quantitative data

    Development Theme

    What is it?

  9. C4D Hub: Analyse data

    Development Theme

    What is it?

    Analysing descriptive data (data about what has happened or is happening) means looking for patterns, themes and making sense of and summarising the data. It is an important part of every RM&E system or study. Techniques for analysis should be selected alongside the selection of methods in the design of a research study or evaluation. There are two basic categories of analysis methods for descriptive questions: qualitative data analysis and quantitative data analysis.

  10. C4D Hub: Visualise data

    Development Theme

    What is it?

    Data visualisation is the process of representing data graphically. It can make it easier to see trends and patterns. Data visualisation can be used during data analysis as part of making sense of data. It can also be used to communicate results as part of producing the reports.

Pages