DATA ANALYSIS AND PRESENTATION

Data analysis is the process through which meaning is attributed to data. This module emphasises that this process is not neutral. The processes, techniques and tools used are based on certain assumptions and have limitations. It is important for managers to understand these assumptions and limitations, and potential pitfalls. This understanding will focus the M&E manager's task of ensuring quality results, including how these are presented.

The first part of this module explores the overall process, described in a generic form as well as looking at the specifics of qualitative and quantitative data collection. The second part focuses on cost analysis, a frequent weakness in M&E. The third part examines impact analysis. The fourth part covers a range of tools and techniques for data analysis and presentation.

OBJECTIVES

• Provide an overview of data analysis processes, highlighting key issues for manager's attention
• Understand key steps in quantitative and qualitative data collection and identify points for manager's attention
• Identify the contribution of cost analysis to M&E, the mechanics of different approaches as well as the pitfalls and limitations in different contexts
• Practice identifying and measuring costs in a concrete programme example
• Understand challenges in impact analysis, alternative approaches and key points for manager's attention
• Situate impact monitoring as a key approach for humanitarian action in crisis and unstable contexts
• Identify characteristics of different types of software and how they match M&E needs
• Identify good practice in using graphs to communicate
• Demonstrate how maps and GIS can be used in M&E

LINKS WITH OTHER MODULES

This module follows from MODULE 5 (data gathering). The data analysis process also links closely with MODULE 7 (promoting use of M&E) as both the logic and limitations of analysis must be easily captured by users. In dealing with this module, it will be important to refer back to MODULE 3, Framing Information needs, to situate the first step of the data analysis process, one that precedes data collection.

SESSIONS

6.1 - Overview: managing data analysis

6.1.1 - Overview: managing data analysis

6.2 - Cost analysis

6.2.1 - Cost analysis

6.3 - Impact analysis

6.3.1 - Impact analysis

6.4 - Tools for data analysis and presentation

6.4.1 - Software for data analysis
6.4.2 - Graphs
6.4.3 - Maps and GIS (Geographic Information Systems)