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

CAT algorithms select the next item based on the estimated ability level derived from the examinee's responses to prior items.

Question 2

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

Accepted Answer

Item Response Theory (IRT)

Answer

IRT provides item-level ability estimates and item characteristic curves that allow CAT algorithms to adaptively select items and estimate examinee ability in real time.

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

CAT targets items near each examinee's ability level, yielding more precise ability estimates than fixed-form tests that include many items too easy or too hard for a given examinee.

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

Variable-length stopping rules end the test once measurement precision reaches a desired level, meaning each examinee may answer a different number of items.

Question 5

Item exposure control in CAT is implemented primarily to:

Accepted Answer

Prevent overuse of items that could compromise test security

Answer

Exposure control limits how frequently any single item is administered so that popular items are not memorized and shared by examinees, protecting test security.

CBT - Computer Based Testing Practice Test

CBT - Computer Based Testing Practice Test

CBT Adaptive Testing and Computer Adaptive Testing (CAT)