Category: describe

Analysing data to summarise it and look for patterns is an important part of every evaluation. The options for doing this have been grouped into two categories – quantitative data (number) and qualitative data (text, images). […]

This cluster of evaluation tasks involves collecting or retrieving data and analyzing it to answer evaluation questions about what has happened – activities, outcomes and impacts –  and also important contextual information. Tasks Tasks related […]

Sampling is the process of selecting units (e.g., people, organizations, time periods) from a population of interest, studying these in greater detail and then drawing conclusions about the larger population to study them in greater detail. […]

As part of an evaluation, it is often important to either develop or use existing indicators or measures of implementation and/or results. Using an existing indicator or measure can have the advantage of producing robust data which […]

This task focuses on ways to collect and/or retrieve data about activities, results, context and other factors. It is important to consider the type of information you want to gather from your participants and the […]

Good data management includes developing effective processes for consistently collecting and recording data, storing data securely, backing up data, cleaning data, and modifying data so it can be transferred between different types of software for […]

Using a combination of qualitative and quantitative data can improve an evaluation by ensuring that the limitations of one type of data are balanced by the strengths of another. This will ensure that understanding is […]

Data visualisation is the process of representing data graphically in order to identify trends and patterns that would otherwise be unclear or difficult to discern. Data visualisation serves two purposes: to bring clarity during analysis […]