Measurement is the most powerful concept in evaluation and data analysis that cannot be neglected for one to proceed with monitoring and evaluation successfully, it will be better to understand what measurement is all about. Measurement is the act of assigning numbers to and objects to represent a quantity or an attribute. There are different levels of measurement from which the manipulation of information to make sense occur which include: normal, ordinal, continuous, interval and ratio level of measurement. Normal level measurement is assigning numbers to an attribute like gender, for example Male=1 and female=2, Ordinal level of measurement is also linked with an attribute, but in an orderly manner an example for this are the level of education primary=1, secondary=2, high school=3, undergraduate=4. The figure in the normal level of measurement does not mean anything, but the ordinal level represents a hierarchy. Another level of measurement is the continuous level, which is differentiated from others with an absolute zero and example is weight. It is possible to have zero weight. The interval level on the other hand is differentiated by the lack of absolute Zero, for example time, and temperature. The zero point at this level doesn’t really mean the lack of time or temperature, but represents just a set standard. Last is the ratio level of measurement which represent measure that can be represented with a fraction for instance weight. It is easier to say 3.4kg but you cannot say 3.5 numbers of leaves. The idea of measurement is important because all the software and spreadsheet used for statistical analysis and evaluation operate using the concept of level of measurement. With the above concept, it’s very clear measurement and Evaluation goes with statistical analysis where you use a figure to prove a hypothesis while monitoring and Evaluation goes with the use of data to describe or demonstrate the level of success toward a particular objective in a project. In conclusion, Monitoring and evaluation is different from Measurement and Evaluation, although they have a lot in common.