CBT Adaptive Testing and Computer Adaptive Testing (CAT)

Question 1

In a Computer Adaptive Test (CAT), how is the difficulty of the next item typically determined?

Accepted Answer

Based on the examinee's response to the previous item

Answer

By random selection from the item bank

Answer

By the test administrator's judgment

Answer

By fixed sequential order in the blueprint

Question 2

Which psychometric model is most commonly used as the foundation for Computer Adaptive Testing?

Accepted Answer

Item Response Theory (IRT)

Answer

Classical Test Theory (CTT)

Answer

Generalizability Theory (GT)

Answer

Factor Analysis

Question 3

What is the primary advantage of a CAT over a fixed-form test of the same length?

Accepted Answer

Greater measurement precision across all ability levels

Answer

Lower development cost

Answer

Simpler scoring algorithms

Answer

Larger item exposure rates

Question 4

Which stopping rule in CAT terminates the test when the standard error of the ability estimate falls below a specified threshold?

Accepted Answer

Variable-length stopping rule

Answer

Fixed-length stopping rule

Answer

Time-based stopping rule

Answer

Content-based stopping rule

Question 5

Item exposure control in CAT is implemented primarily to:

Accepted Answer

Prevent overuse of items that could compromise test security

Answer

Reduce test administration time

Answer

Increase item bank diversity requirements

Answer

Standardize item difficulty across all administrations

Question 6

In IRT-based CAT, the Maximum Information (MI) item selection algorithm selects the next item that:

Accepted Answer

Provides the most information at the current ability estimate (theta)

Answer

Has the highest difficulty parameter regardless of current theta

Answer

Was least recently used in previous administrations

Answer

Has the broadest content coverage in the blueprint

Question 7

Which of the following is a key challenge when implementing content balancing constraints in a CAT?

Accepted Answer

Ensuring blueprint specifications are met while still selecting near-optimal items

Answer

Eliminating the need for an item bank

Answer

Removing the standard error stopping criterion

Answer

Preventing item parameter drift over time