Item Response Analysis Algorithm
(Redirected from Item response theory (IRT) models)
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An Item Response Analysis Algorithm is an analysis algorithm to can be applied by an Item Response Analysis System (to solve an item response analysis task).
- AKA: IRT Models.
- Context:
- …
- See: Maximum Marginal Likelihood Estimation, High-Stakes Test, Test-Level Model, Linear Fixed-Effect Model, Linear Mixed-Effect Model.
References
2007
- (Johnson, 2007) ⇒ Matthew S. Johnson. (2007). “Marginal Maximum Likelihood Estimation of Item Response Models in R.” In: Journal of Statistical Software, 20(10).
1981
- (Bock & Aitkin, 1981) ⇒ R. Darrell Bock, and Murray Aitkin. (1981). “Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM algorithm.” In: Psychometrika, 46(4).