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Metric Stability in Item Response Models
Multivariate Behavioral Research, 2020In item response theory, uncertainty associated with estimated item parameters can lead to greater uncertainty in subsequent analyses, such as estimating trait scores for individual examinees. Most existing methods to characterize or correct for item parameter uncertainty implicitly assume that the latent trait continuum is fixed across the posterior ...
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Restricted Recalibration of Item Response Theory Models
Psychometrika, 2019In item response theory (IRT), it is often necessary to perform restricted recalibration (RR) of the model: A set of (focal) parameters is estimated holding a set of (nuisance) parameters fixed. Typical applications of RR include expanding an existing item bank, linking multiple test forms, and associating constructs measured by separately calibrated ...
Liu, Yang +2 more
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Response Time Item Response Models
2010Response times and responses can be collected via computer adaptive testing or computer-assisted questioning. Inferences about test takers and test items can therefore be based on the response time and response accuracy information. Response times and responses are used to measure a respondent's speed of working and ability using a multivariate ...
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Log-Multiplicative Association Models as Item Response Models
Psychometrika, 2007Log-multiplicative association (LMA) models, which are special cases of log-linear models, have interpretations in terms of latent continuous variables. Two theoretical derivations of LMA models based on item response theory (IRT) arguments are presented.
Anderson, Carolyn J., Yu, Hsiu-Ting
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Evaluating Item Fit for Multidimensional Item Response Models
Educational and Psychological Measurement, 2007This research examines the utility of the s - χ2 statistic proposed by Orlando and Thissen (2000) in evaluating item fit for multidimensional item response models. Monte Carlo simulation was conducted to investigate both the Type I error and statistical power of this fit statistic in analyzing two kinds of multidimensional test structures: approximate
null Bo Zhang, Clement A. Stone
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Randomized Item Response Models
2010Item responses can be masked before they are observed via a randomized response mechanism. This technique is used to protect individuals and improve their willingness to answer truthfully. Various traditional randomized response sampling techniques are discussed and extended to a multivariate setting.
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Assessing item‐feature effects with item response tree models
British Journal of Mathematical and Statistical Psychology, 2019Recent applications of item response tree models demonstrate that this model class is well suited to detect midpoint and extremity response style effects in both attitudinal and personality measurements. This paper proposes an extension of this approach that goes beyond measuring response styles and allows us to examine item‐feature effects.
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A response time-based mixture item response theory model for dynamic item-response strategies
Behavior Research MethodsEducational researchers have a long-lasting interest in the strategies examinees employ when responding to items in an assessment. Mixture item response theory (IRT) modeling is a popular class of approaches to studying examinees' item-response strategies.
Sijia, Huang +2 more
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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