Evaluating and Improving Item Response Theory Models for Cross-National Expert Surveys

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...

Item Non-response and Imputation of Annual Labor Income in Panel Surveys from a Cross-National Perspective

Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item nonresponse (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement error on prototypical analyses (earnings inequality, mobility and wage regressions) in a cross-nationa...

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...

Item Response Theory

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