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Items parameters of the space-relations subtest using item response theory
This article describes the item parameters analysis result of the space-relations subtest measurement. This subtest is part of the differential aptitude test (DAT) instrument. The item parameters are characteristic psychometric refer quality of the item.
Farida Agus Setiawati +2 more
doaj +4 more sources
Modeling variability in item parameters in item response models [PDF]
In some areas of measurement item parameters should not be modeled as fixed but as random. Examples of such areas are: item sampling, computerized item generation, measurement with substantial estimation error in the item parameter estimates, and grouping of items under a common stimulus or in a common context.
Glas, Cornelis A.W. +1 more
core +3 more sources
Investigating Confidence Intervals of Item Parameters When Some Item Parameters Take Priors in the 2PL and 3PL Models. [PDF]
To reduce the chance of Heywood cases or nonconvergence in estimating the 2PL or the 3PL model in the marginal maximum likelihood with the expectation-maximization (MML-EM) estimation method, priors for the item slope parameter in the 2PL model or for the pseudo-guessing parameter in the 3PL model can be used and the marginal maximum a posteriori (MMAP)
Paek I, Lin Z, Chalmers RP.
europepmc +3 more sources
Jump-Starting Item Parameters for Adaptive Language Tests
A challenge in designing high-stakes language assessments is calibrating the test item difficulties, either a priori or from limited pilot test data. While prior work has addressed ‘cold start’ estimation of item difficulties without piloting, we devise ...
Arya D. McCarthy +5 more
semanticscholar +1 more source
OBJECTIVE PROMIS® offers computerized adaptive tests (CAT) of patient-reported outcomes, using a single set of US-based IRT item parameters across populations and language-versions.
C. Terwee +6 more
semanticscholar +1 more source
The Unit Testlet Dilemma: PISA Sample
Testlets have advantages such as making it possible to measure higher-order thinking skills and saving time, which are accepted in the literature. For this reason, they have often been preferred in many implementations from in-class assessments to large ...
Cansu Ayan, Fulya Barış Pekmezci
doaj +1 more source
Linking Item Response Model Parameters [PDF]
With a few exceptions, the problem of linking item response model parameters from different item calibrations has been conceptualized as an instance of the problem of test equating scores on different test forms. This paper argues, however, that the use of item response models does not require any test score ...
van der Linden, Wim J. +1 more
openaire +2 more sources
The current research aimed to identify the effect of selecting item response theory models and estimation methods and the interaction between these two variables on the accuracy of estimating item parameters of the Cattell intelligence test and ...
Saud Alenezi
doaj +1 more source
The study estimated the difficulty, discrimination, and vulnerability to guessing 2016 National Examination Council (NECO) Mathematics multiple-choice test items. The study employed an ex-post facto design with 276,338 samples.
Jimoh Kasali, Adediwura Alaba Adeyemi
doaj +1 more source
Sample Size Requirements for Applying Diagnostic Classification Models
Results of a comprehensive simulation study are reported investigating the effects of sample size, test length, number of attributes and base rate of mastery on item parameter recovery and classification accuracy of four DCMs (i.e., C-RUM, DINA, DINO ...
Sedat Sen, Allan S. Cohen
doaj +1 more source

