CPE Data Collection & Analysis

Question 1

What is the purpose of data collection in program evaluation?

Accepted Answer

Gather accurate info

Answer

Data collection is fundamental to program evaluation because it provides the factual basis for understanding a program's activities, outputs, and outcomes. By systematically gathering accurate and relevant information, evaluators can objectively assess the program's effectiveness, efficiency, and impact, moving beyond assumptions to evidence-based conclusions.

Question 2

Which method involves gathering numerical data?

Accepted Answer

Quantitative

Answer

Quantitative methods are specifically designed to collect and analyze numerical data, such as statistics, frequencies, and measurements. This approach allows evaluators to quantify aspects of a program, identify patterns, test hypotheses, and generalize findings to a larger population, providing measurable insights into program performance.

Question 3

Why is sampling important in data collection?

Accepted Answer

Representative subset

Answer

Sampling is crucial in data collection because it allows evaluators to gather information from a smaller, manageable subset of a larger population. When done correctly, this subset is representative of the entire population, enabling evaluators to draw valid conclusions and make inferences about the whole group without needing to collect data from every single individual.

Question 4

What is the role of data validation?

Accepted Answer

Ensure accuracy

Answer

Data validation is a critical step in program evaluation that involves checking the collected data for completeness, consistency, and accuracy. This process helps to identify and correct errors, ensuring that the data used for analysis is reliable and trustworthy. Accurate data is essential for drawing credible conclusions and making sound recommendations about a program.

Question 5

What does descriptive analysis do?

Accepted Answer

Summarize data

Answer

Descriptive analysis is used to summarize and describe the main features of a dataset, providing a clear picture of what the data shows. It involves calculating measures like averages, frequencies, and percentages, as well as creating charts and graphs. This initial step helps evaluators understand the characteristics of their data before performing more complex analyses.

(CPE) Certified Program Evaluator Practice Test

(CPE) Certified Program Evaluator Practice Test

CPE Data Collection & Analysis