Applications of Mixture IRT Models: A Literature Review

The effects of three scale identification constraints in mixture IRT models were studied. A simulation study found no constraint effect on the mixture Rasch and mixture 2PL models, but the item anchoring constraint was the only one that worked well on selecting correct model with the mixture 3PL model.

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NUTS for Mixture IRT Models

Springer Proceedings in Mathematics & Statistics - Quantitative Psychology ◽

10.1007/978-3-030-01310-3_3 ◽

2019 ◽

pp. 25-37

Author(s):

Rehab Al Hakmani ◽

Yanyan Sheng

Keyword(s):

Irt Models ◽

Mixture Irt

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A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models

Educational and Psychological Measurement ◽

10.1177/00131644211045351 ◽

2021 ◽

pp. 001316442110453

Author(s):

Gabriel Nagy ◽

Esther Ulitzsch

Keyword(s):

Large Scale ◽

Latent Class ◽

Response Times ◽

Marginal Maximum Likelihood ◽

Irt Model ◽

Large Scale Data ◽

Irt Models ◽

Mixture Irt ◽

Item Parameters ◽

Item Responses

Disengaged item responses pose a threat to the validity of the results provided by large-scale assessments. Several procedures for identifying disengaged responses on the basis of observed response times have been suggested, and item response theory (IRT) models for response engagement have been proposed. We outline that response time-based procedures for classifying response engagement and IRT models for response engagement are based on common ideas, and we propose the distinction between independent and dependent latent class IRT models. In all IRT models considered, response engagement is represented by an item-level latent class variable, but the models assume that response times either reflect or predict engagement. We summarize existing IRT models that belong to each group and extend them to increase their flexibility. Furthermore, we propose a flexible multilevel mixture IRT framework in which all IRT models can be estimated by means of marginal maximum likelihood. The framework is based on the widespread Mplus software, thereby making the procedure accessible to a broad audience. The procedures are illustrated on the basis of publicly available large-scale data. Our results show that the different IRT models for response engagement provided slightly different adjustments of item parameters of individuals’ proficiency estimates relative to a conventional IRT model.

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Robustness of Mixture IRT Models to Violations of Latent Normality

Quantitative Psychology Research - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-3-319-07503-7_3 ◽

2015 ◽

pp. 27-43 ◽

Cited By ~ 3

Author(s):

Sedat Sen ◽

Allan S. Cohen ◽

Seock-Ho Kim

Keyword(s):

Irt Models ◽

Mixture Irt

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Effect of Computerized Auditory Training on Speech Perception of Adults With Hearing Impairment

Perspectives on Aural Rehabilitation and Its Instrumentation ◽

10.1044/arri20.3.91 ◽

2013 ◽

Vol 20 (3) ◽

pp. 91-106 ◽

Cited By ~ 6

Author(s):

Rachel Pizarek ◽

Valeriy Shafiro ◽

Patricia McCarthy

Keyword(s):

Hearing Loss ◽

Speech Perception ◽

Literature Review ◽

Low Cost ◽

Experimental Designs ◽

Auditory Training ◽

Hearing Impairments ◽

Communicative Disorders ◽

And Training

Computerized auditory training (CAT) is a convenient, low-cost approach to improving communication of individuals with hearing loss or other communicative disorders. A number of CAT programs are being marketed to patients and audiologists. The present literature review is an examination of evidence for the effectiveness of CAT in improving speech perception in adults with hearing impairments. Six current CAT programs, used in 9 published studies, were reviewed. In all 9 studies, some benefit of CAT for speech perception was demonstrated. Although these results are encouraging, the overall quality of available evidence remains low, and many programs currently on the market have not yet been evaluated. Thus, caution is needed when selecting CAT programs for specific patients. It is hoped that future researchers will (a) examine a greater number of CAT programs using more rigorous experimental designs, (b) determine which program features and training regimens are most effective, and (c) indicate which patients may benefit from CAT the most.

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Taking Care of Children After Traumatic Brain Injury

Perspectives on School-Based Issues ◽

10.1044/sbi13.3.79 ◽

2012 ◽

Vol 13 (3) ◽

pp. 79-86 ◽

Cited By ~ 1

Author(s):

Julie Haarbauer-Krupa

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Literature Review ◽

School Setting ◽

Leadership Role ◽

Speech Language Pathologists ◽

Educational Information ◽

Taking Care

AbstractPurpose: The purpose of this article is to inform speech-language pathologists in the schools about issues related to the care of children with traumatic brain injury.Method: Literature review of characteristics, outcomes and issues related to the needs serving children.Results: Due to acquired changes in cognition, children with traumatic brain injury have unique needs in a school setting.Conclusions: Speech-Language Pathologists in the school can take a leadership role with taking care of children after a traumatic brain injury and coordination of medical and educational information.

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