Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Item Parameter Recovery for the Two-Parameter Testlet Model with
  Different Estimation Methods   The testlet model is a popular statistical approach widely used by
researchers and practitioners to address local item dependence (LID), a
violation of the local independence assumption in item response theory (IRT)
which can cause various deleterious psychometric consequences. Same as other
psychometric models, the utility of the testlet model relies heavily on
accurate estimation of its model parameters. The two-parameter logistic (2PL)
testlet model has only been systematically investigated in the psychometric
literature regarding its model parameter recovery with one full information
estimation methods, namely Markov chain Monte Carlo (MCMC) method, although
there are other estimation methods available such as marginal maximum
likelihood estimation (MMLE) and limited information estimation methods.
  In the current study, a comprehensive simulation study was conducted to
investigate how MCMC, MMLE, and one limited information estimation method
(WLSMV), all implemented in Mplus, recovered the item parameters and the
testlet variance parameter of the 2PL testlet model. The manipulated factors
were sample size and testlet effect magnitude, and parameter recovery were
evaluated with bias, standard error, and root mean square error. We found that
there were no statistically significant differences regarding parameter
recovery between the three methods. When both sample size and magnitude of
testlet variance were small, both WLSMV and MCMC had convergence issues, which
did not occur to MCMC regardless of sample size and testlet variance. A real
dataset from a high-stakes test was used to demonstrate the estimation of the
2PL testlet model with the three estimation methods.
  Keywords: IRT, testlet model, estimation, full-information,
limited-information.

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The categories of this paper are: math
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The categories of this paper are: nlin
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The categories of this paper are: funct-an
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The categories of this paper are: math-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-fin
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The categories of this paper are: alg-geom
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The categories of this paper are: chao-dyn
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The categories of this paper are: astro-ph
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The categories of this paper are: eess
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The categories of this paper are: supr-con
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The categories of this paper are: quant-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: physics
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The categories of this paper are: cs