(redirected from Item Response Model)
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References in periodicals archive ?
This characteristic is especially important and unique to item response models because it allows test makers to easily decide which items to choose based on their interests and also based on the impact of the items on the total test information.
The unidimensional model is useful in producing ability estimates that can be used to make decisions about overall teacher candidate "readiness-to-teach" at the Tier I licensure level, but if teacher programs or teacher candidates themselves would like more specific information about a candidate's strengths and weaknesses, a multidimensional item response model would be more informative for teacher educators and program administrators.
Rahimi, "Parallel computing with a Bayesian item response model," American Journal of Computational Mathematics, vol.
An item response model for nominal data based on the rising selection ratios criterion.
I conducted a series of graded item response models examining response parameters for the items assessing each of the six Mini-IPIP6 factors separately.
Progress in the technology of measurement: Applications of item response models.
Fitting a Two-Parameter Logistic Item Response Model to Clarify the Psychometric Properties of the Drug Use Screening Inventory for Adolescent Alcohol and Drug Abusers.
Detection of differential item functioning using the parameters of item response models.
Appended are: (1) Internal Review Rating Form; (2) Directions for Administration; (3) Comparison of Word Counts: Hand-Counted versus Algorithm-Counted; (4) Mean, Minimum and Maximum Words per Minute for Each Test Item; and (5) Estimated Item Difficulty Obtained from Rasch Item Response Model.
In the psychometric literature, when Spearman's model is used as an item response model it is also known as the congeneric test (item) score model (Joreskog, 1971), a name that we shall use here.
The paper describes a parameterization of the relationships in NetPASS via an ordered polytomous item response model and details the updating of the model with observed data via Bayesian statistical procedures ultimately being provided by Markov chain Monte Carlo estimation.