The aim of data analysis is to help turn raw data into knowledge, which can then be used for decision-making and other purposes. Data analysis can take place at any stage of a project or programme cycle. There are many different types of data analysis. These include quantitative, qualitative and participatory analysis. Many projects and programmes use a combination of different types of analysis.

To access the M&E Universe click here. The resources in this area are listed below.

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Cost-benefit analysis

.pdf (0.19mb)

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Data Analysis

.pdf (0.21mb)

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Impact grids

.pdf (0.29mb)

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Qualitative analysis

.pdf (0.24mb)

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Quantitative analysis

.pdf (0.21mb)

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Ratings and scales

.pdf (0.23mb)

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Sensemaking

.pdf (0.27mb)

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Triangulation

.pdf (0.18mb)