Application of Group-Level Item Response Models in the Evaluation of Consumer Reports About Health Plan Quality

Reise, Steven P.; Meijer, Rob R.; Ainsworth, Andrew T.; Morales, Leo S.

doi:10.1207/s15327906mbr4101_6

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…The 1,000 cases used here are a random sample from the National CAHPS Benchmarking Database [15,16]. The entire data set was previously analyzed using ''group-level'' IRT models [16].…”

Section: Example Datasetmentioning

confidence: 99%

The role of the bifactor model in resolving dimensionality issues in health outcomes measures

2007

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“…The 1,000 cases used here are a random sample from the National CAHPS Benchmarking Database [15,16]. The entire data set was previously analyzed using ''group-level'' IRT models [16].…”

Section: Example Datasetmentioning

confidence: 99%

The role of the bifactor model in resolving dimensionality issues in health outcomes measures

2007

Self Cite

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“…This necessitates the development of group-level cognitive diagnosis methods to enhance teaching efficiency. In response to this need, methods based on psychometrics-based CDMs have been proposed, which either extend IRT to combine with response sampling methods [12,113] or average the diagnosed individual abilities [2,93]. Recent studies have been exploring this issue using deep learning methods.…”

Section: Other Issuesmentioning

confidence: 99%

Modern Science Education in China

Wang

2021

Western Influences in the History of Science and Technology in Modern China

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Symbiotic radio (SR) has emerged as a spectrum-and energy-efficient paradigm to support massive Internet of Things (IoT) connections. Two multiple access schemes are proposed in this paper to facilitate the massive IoT connections using the cellular network based on the SR technique, namely, the simultaneous access (SA) scheme and the selection diversity access (SDA) scheme. In the SA scheme, the base station (BS) transmits information to the receiver while multiple IoT devices transmit their information simultaneously by passively backscattering the BS signal to the receiver, while in the SDA scheme, only the IoT device with the strongest backscatter link transmits information to the receiver.In both of the schemes, the receiver jointly decodes the information from the BS and the IoT devices.To evaluate the above two schemes, in this paper, we have derived the closed-form expressions of the ergodic rates and the outage probabilities for the cellular and IoT transmissions. Finally, numerical results are provided to verify the theoretical analysis and compare the two proposed multiple access schemes. When the number of IoT devices is small, the SDA scheme is more appealing since it can significantly reduce the computational complexity while achieving equivalent performance to the SA scheme. When the number of IoT devices is large, the SA scheme is preferable since it guarantees a significantly better rate performance and a lower outage probability.

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“…In this paper we refer to Mokken's original scalability coefficients as single‐level scalability coefficients. We are currently developing Mokken scale analysis for two‐level data based on the ideas of Snijders (; see also Crisan, Van de Pol, & Van der Ark, ; Reise, Meijer, Ainsworth, Morales, & Hays, ), who generalized Mokken's scalability coefficients to two‐level data. This study discusses the next step in the development of two‐level Mokken scale analysis: deriving standard errors of the two‐level scalability coefficients, which are needed for sound interpretation.…”

Section: Introductionmentioning

confidence: 99%

Standard errors of two‐level scalability coefficients

Koopman

Zijlstra

Ark

2019

Brit J Math & Statis

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For the construction of tests and questionnaires that require multiple raters (e.g., a child behaviour checklist completed by both parents) a novel ordinal scaling technique is currently being further developed, called two-level Mokken scale analysis. The technique uses within-rater and between-rater coefficients to assess the scalability of the test. These coefficients are generalizations of Mokken's scalability coefficients. In this paper we derived standard errors for the two-level coefficients and for their ratios. The coefficients, the estimates, the estimated standard errors and the software implementation are discussed and illustrated using a real-data example, and a small-scale simulation study demonstrates the accuracy of the estimates.

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Application of Group-Level Item Response Models in the Evaluation of Consumer Reports About Health Plan Quality

Cited by 9 publications

References 27 publications

The role of the bifactor model in resolving dimensionality issues in health outcomes measures

The role of the bifactor model in resolving dimensionality issues in health outcomes measures

Modern Science Education in China

Standard errors of two‐level scalability coefficients

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