A Bayesian Hierarchical Model for Large-Scale Educational Surveys: An Application to the National Assessment of Educational Progress NAEP MCMC
- Author(s):
- Johnson, Matthew S.; Jenkins, Frank
- Publication Year:
- 2005
- Report Number:
- RR-04-38
- Source:
- ETS Research Report
- Document Type:
- Report
- Page Count:
- 28
- Subject/Key Words:
- National Assessment of Educational Progress (NAEP), Bayesian Analysis, Markov Chain Monte Carlo (MCMC), Item Response Theory (IRT), Cluster Sampling, Large-Scale Assessment
Abstract
The point estimates from the Bayesian model and the operational method are quite similar in most cases, but there does seem to be systematic differences in measures of uncertainty (e.g., standard errors, confidence intervals).
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- http://dx.doi.org/10.1002/j.2333-8504.2004.tb01965.x