Computerized Adaptive Testing (CAT) Flashcards
6 cards from real TAPAS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Computerized Adaptive Testing (CAT) flashcards as text
What is exposure control in TAPAS's computerized adaptive testing system?
Answer: Mechanisms that limit how frequently any single item is administered to prevent overexposure and memorization
Exposure control prevents any single item from being administered too frequently, protecting test security by making it difficult for test-takers to share specific items with future examinees.
How does the initial trait estimate work when a person first begins TAPAS?
Answer: The algorithm begins with a neutral prior estimate at the population mean for all dimensions
TAPAS begins with a neutral prior estimate placing each person at the average level on all personality dimensions, then rapidly updates these estimates as responses are collected.
What advantage does CAT provide for measuring extreme personality profiles on TAPAS?
Answer: CAT automatically selects more items at the extremes of the trait distribution where they are needed most
For individuals with extreme personality profiles, CAT selects items calibrated at those extreme levels, providing better measurement precision than a fixed test designed primarily for average respondents.
What is the relationship between CAT and the MUPP scoring model in TAPAS?
Answer: The MUPP model provides the IRT framework that enables adaptive item selection for forced-choice personality items
The MUPP model provides the IRT parameters and scoring framework that the CAT algorithm uses to select maximally informative forced-choice item pairs and update trait estimates.
What happens if a test-taker experiences a computer malfunction during a TAPAS CAT session?
Answer: The adaptive algorithm can resume from the last saved response, reconstructing trait estimates from completed items
Because CAT maintains a record of all responses and can recalculate trait estimates from any subset of completed items, testing can resume after a technical interruption without starting over.
How does content balancing work within TAPAS's CAT algorithm?
Answer: The algorithm ensures that items are drawn from across all personality dimensions rather than concentrating on just a few
Content balancing constraints ensure the CAT algorithm distributes item selection across all personality dimensions, preventing overemphasis on some dimensions at the expense of others.