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

Output data (number of sessions held)

Answer

Input data (staff hours worked)

Answer

Financial data (cost per client)

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

Screen clients for program eligibility

Answer

Compare two different programs simultaneously

Answer

Assess staff knowledge before training

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

Sets the budget for data collection

Answer

Lists all staff assigned to data entry

Answer

Identifies the total number of sessions delivered

Question 4

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

Accepted Answer

Median

Answer

Mean

Answer

Mode

Answer

Standard deviation

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

Satisfy federal reporting mandates only

Answer

Increase the volume of data reports produced

Answer

Comply with HIPAA requirements

Question 6

A PCB professional reviewing program data notices a statistically significant improvement in outcomes but a very small effect size. This means:

Accepted Answer

The change was real but may be too small to be practically meaningful

Answer

The findings are unreliable and should be discarded

Answer

The program should immediately be replicated at scale

Answer

The sample size was too small to draw conclusions