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A Short Note on Obtaining Point Estimates of the IRT Ability Parameter with MCMC Estimation in Mplus: How Many Plausible Values Are Needed?
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Luo, Yong; Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2019
Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent…
Descriptors: Item Response Theory, Monte Carlo Methods, Markov Processes, Outcome Measures
An Approach to Scoring and Equating Tests with Binary Items: Piloting With Large-Scale Assessments
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Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2016
This article describes an approach to test scoring, referred to as "delta scoring" (D-scoring), for tests with dichotomously scored items. The D-scoring uses information from item response theory (IRT) calibration to facilitate computations and interpretations in the context of large-scale assessments. The D-score is computed from the…
Descriptors: Scoring, Equated Scores, Test Items, Measurement