About item response theory models and how they work

Randomized Item Response Theory Models

The randomized response (RR) technique is often used to obtain answers on sensitive questions. A new method is developed to measure latent variables using the RR technique because direct questioning leads to biased results. Within the RR technique is the probability of the true response modeled by an item response theory (IRT) model. The RR technique links the observed item response with the tr...

Running head: USING ITEM RESPONSE THEORY TO LEARN 1 Using Item Response Theory to Learn about Observational Instruments

As many states are slated to soon use scores derived from classroom observation instruments in high-stakes decisions, developers must cultivate methods for improving the functioning of these instruments. We show how multidimensional, multilevel item response theory models can yield information critical for improving the performance of observational instruments.

Comparing Multiunidimensional and Unidimensional Item Response Theory Models

Rheumatoid arthritis, item response theory, Blom transformation, and mixed models

We studied rheumatoid arthritis (RA) in the North American Rheumatoid Arthritis Consortium (NARAC) data (1499 subjects; 757 families). Identical methods were applied for studying RA in the Genetic Analysis Workshop 15 (GAW15) simulated data (with a prior knowledge of the simulation answers). Fifty replications of GAW15 simulated data had 3497 +/- 20 subjects in 1500 nuclear families. Two new st...

How Item Response Theory can solve problems of ipsative data

.......................................................................................................... 3 Introduction ..................................................................................................... 4 Single-stimulus response format ................................................................... 4 Response biases affecting single-stimulus items ........................