CPE Data Collection & Analysis 5

Question 1

An evaluator uses a comparison group that was not randomly assigned. This design is classified as:

Accepted Answer

Quasi-experimental

Answer

Quasi-experimental designs use non-randomly assigned comparison groups, providing causal evidence weaker than true experiments.

Question 2

Missing data in a program evaluation dataset can best be handled by:

Accepted Answer

Documenting the extent, patterns, and applying appropriate imputation methods

Answer

Proper handling of missing data requires understanding its pattern and using appropriate methods like imputation while maintaining transparency.

Question 3

A program evaluator is reviewing data and finds several extreme outliers. The best first step is to:

Accepted Answer

Investigate whether outliers are data errors or legitimate extreme cases

Answer

Outliers should be investigated first to determine if they represent data entry errors or valid extreme observations before deciding how to handle them.

Question 4

Which data collection approach allows participants to respond at their own pace and provides anonymity, making it suitable for sensitive topics?

Accepted Answer

Self-administered anonymous survey

Answer

Self-administered anonymous surveys reduce social desirability bias and allow honest responses on sensitive topics at the respondent's own pace.

Question 5

In logic model-based evaluation, which data type is most appropriate for measuring 'inputs'?

Accepted Answer

Resources such as staff hours, funding, and materials

Answer

Inputs in a logic model refer to the resources invested in a program, including staff, funding, equipment, and materials.

(CPE) Certified Program Evaluator Practice Test

(CPE) Certified Program Evaluator Practice Test

CPE Data Collection & Analysis 5