| Authors |
|
| Publication date |
2023
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| Host editors |
-
L.A. van der Ark
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W.H.M. Emons
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R.R Meijer
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| Book title |
Essays on Contemporary Psychometrics
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| ISBN |
|
| ISBN (electronic) |
|
| Series |
Methodology of Educational Measurement and Assessment
|
| Pages (from-to) |
219-250
|
| Publisher |
Cham: Springer
|
| Organisations |
-
Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
|
| Abstract |
This chapter is about two recently published algorithms that can be used to sample from conditional distributions. We show how the efficiency of the algorithms can be improved when a sample is required from many conditional distributions. Using real-data examples from educational measurement, we show how the algorithms can be used to sample from intractable full-conditional distributions of the person and item parameters in an application of the Gibbs sampler.
|
| Document type |
Chapter
|
| Language |
English
|
| Published at |
https://doi.org/10.31234/osf.io/e5yjp
https://doi.org/10.1007/978-3-031-10370-4_12
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