Randomized Item Response Theory Models

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 a...

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Bibliographische Detailangaben
Veröffentlicht in:Journal of Educational and Behavioral Statistics. - SAGE Publishing, 1976. - 30(2005), 2, Seite 189-212
1. Verfasser: Fox, Jean-Paul (VerfasserIn)
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2005
Zugriff auf das übergeordnete Werk:Journal of Educational and Behavioral Statistics
Schlagworte:Analysis of Variance Item Response Theory Model Markov Chain Monte Carlo (MCMC) Random Effects Randomized Response Behavioral sciences Information science Applied sciences Education Mathematics
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520 |a 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 true item response. Attitudes can be measured without knowing the true individual answers. This approach makes also a hierarchical analysis possible, with explanatory variables, given observed RR data. All model parameters can be estimated simultaneously using Markov chain Monte Carlo. The randomized item response technique was applied in a study on cheating behavior of students at a Dutch University. In this study, it is of interest if students' cheating behavior differs across studies and if there are indicators that can explain differences in cheating behaviors. 
540 |a Copyright 2005 American Educational Research Association and the American Statistical Association 
650 4 |a Analysis of Variance 
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