Use instruments that have been proven to be valid and reliable.
Orientation towards description, prediction and explanation.
Focused on measurable and observable data.
The data collected are objective and accurate, since they were collected using standardized methods, they can be
reproduced and analyzed using statistical techniques.
Employ experimentation Cause and
effect analysis.
Quantitative techniques contribute:
Generalizable results.
Control of phenomena.
Precision.
Prediction.
Advantages of Using Quantitative Data
The most common analyzes are relatively quick and easy
Answers the “what” and “how many” questions about the evaluation activities.
The results are concrete with a minimal possibility of bias.
Disadvantages of Using Quantitative Data
Data collection can be time consuming.
For more advanced data analysis, you need statistical software and training to use it, this can be expensive.
May not answer the "why" of the evaluation activities.