PCB PCB Data Analysis & Reporting

Question 1

In PCB practice, which data type best measures whether a program achieved its intended outcomes?

Accepted Answer

Outcome data (changes in client knowledge, behavior, or status)

Answer

Outcome data directly measure the changes the program aimed to produce in clients or communities, distinguishing it from service volume measures.

Question 2

A pre-test/post-test design in PCB evaluation is primarily used to:

Accepted Answer

Measure change in participants between the start and end of an intervention

Answer

Pre-test/post-test designs measure within-group change over time by comparing the same participants before and after the intervention.

Question 3

In PCB data reporting, a denominator population is important because it:

Accepted Answer

Provides the reference group needed to calculate rates and proportions meaningfully

Answer

Rates and proportions require a defined denominator (eligible population) to interpret numerator counts in context.

Question 4

Which measure of central tendency is most appropriate when a PCB dataset contains significant outliers?

Accepted Answer

Median

Answer

The median is resistant to outliers because it reflects the middle value rather than being pulled by extreme scores.

Question 5

In PCB program reporting, disaggregating data by race and ethnicity is important in order to:

Accepted Answer

Identify disparities in service access, quality, or outcomes across demographic groups

Answer

Disaggregated data reveal inequities hidden in aggregate statistics, enabling targeted strategies to address disparate outcomes.

PCB - Design Practice Test