TAPAS Item Response Theory (IRT) 3

Question 1

What is maximum likelihood estimation as used in TAPAS scoring?

Accepted Answer

A statistical method that finds the trait values most consistent with the observed pattern of item responses

Answer

Guessing the most likely personality type

Answer

Choosing the maximum score from multiple test administrations

Answer

Estimating the maximum number of items a person can answer

Question 2

What is Bayesian estimation and how might it be used in TAPAS scoring?

Accepted Answer

An estimation approach that combines prior information about typical trait distributions with the observed response data

Answer

A method named after a test developer

Answer

A method for estimating test administration costs

Answer

A method that only works with cognitive tests

Question 3

How does IRT enable equating of TAPAS scores across different item sets?

Accepted Answer

Because IRT parameters are on a common scale, scores from different item subsets are directly comparable regardless of which specific items were administered

Answer

All test-takers must receive identical items for scores to be comparable

Answer

Equating is impossible with adaptive tests

Answer

Scores are adjusted based on the difficulty of items received

Question 4

What is model-data fit and why is it assessed for TAPAS?

Accepted Answer

Statistical evaluation of how well the MUPP-IRT model describes the actual pattern of responses in the data

Answer

Whether the test physically fits on the computer screen

Answer

Whether the data fits in the database storage system

Answer

How well test-takers fit the target population

Question 5

What is the theta parameter in IRT and what does it represent in TAPAS?

Accepted Answer

The estimated standing of a person on a latent personality dimension, typically scaled with mean 0 and standard deviation 1

Answer

The time taken to complete the test

Answer

The difficulty of the hardest item in the bank

Answer

The number of dimensions being measured

Question 6

How does IRT handle missing data or interrupted TAPAS administrations?

Accepted Answer

IRT can estimate trait levels from any subset of items, so incomplete administrations still yield usable estimates with appropriately wider confidence intervals

Answer

Missing responses are counted as the lowest possible score

Answer

The entire test must be retaken if any items are missed

Answer

Missing data is impossible in computerized testing