Quantitative data refers to numeric information that can be measured and analyzed statistically, providing a clear picture of program performance.
It is essential for assessing program effectiveness, as it answers questions about the ‘what’ of the program, such as completion rates and outcome improvements.
Common quantitative questions include: ‘How many people completed the program?’ and ‘What percentage of participants showed an increase in self-esteem?’
Sources of quantitative data include institutional records, surveys, and numerical observations, which help in monitoring program fidelity and outcomes.
Types of Evaluations in Program Assessment
Needs Assessment: Evaluates if there is a need for the program, ensuring that resources are allocated effectively.
Structured Conceptualization: Defines the program’s goals, target population, and expected outcomes, providing a framework for evaluation.
Evaluability Assessment: Determines the feasibility of conducting an evaluation and how stakeholders can contribute to its effectiveness.
Implementation Evaluation: Monitors the fidelity of program delivery through existing data and survey methods.
Summative Evaluation and Its Types
Summative evaluation occurs after program completion, focusing on the results and overall impact of the program.
Outcome Evaluation: Measures the program’s effectiveness in achieving its defined outcomes.
Impact Evaluation: Assesses the broader effects of the program on the target population and community.
Cost-Effectiveness Analysis: Evaluates the financial efficiency of the program by comparing costs to benefits.
