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A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research

Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?
Br J Math Stat Psychol. 2023 Nov;76(3):646-678. doi: 10.1111/bmsp.12293. Epub 2022 Dec 2.ABSTRACTObservational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Cont...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Ke-Hai Yuan Yongfei Fang Source Type: research

A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research

Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?
Br J Math Stat Psychol. 2023 Nov;76(3):646-678. doi: 10.1111/bmsp.12293. Epub 2022 Dec 2.ABSTRACTObservational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Cont...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Ke-Hai Yuan Yongfei Fang Source Type: research

A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research

Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?
Br J Math Stat Psychol. 2023 Nov;76(3):646-678. doi: 10.1111/bmsp.12293. Epub 2022 Dec 2.ABSTRACTObservational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Cont...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Ke-Hai Yuan Yongfei Fang Source Type: research

A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research

Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?
Br J Math Stat Psychol. 2023 Nov;76(3):646-678. doi: 10.1111/bmsp.12293. Epub 2022 Dec 2.ABSTRACTObservational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Cont...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Ke-Hai Yuan Yongfei Fang Source Type: research

A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research

Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?
Br J Math Stat Psychol. 2023 Nov;76(3):646-678. doi: 10.1111/bmsp.12293. Epub 2022 Dec 2.ABSTRACTObservational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Cont...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Ke-Hai Yuan Yongfei Fang Source Type: research

A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research

Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?
Br J Math Stat Psychol. 2023 Nov;76(3):646-678. doi: 10.1111/bmsp.12293. Epub 2022 Dec 2.ABSTRACTObservational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Cont...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Ke-Hai Yuan Yongfei Fang Source Type: research

A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research

Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites?
Br J Math Stat Psychol. 2023 Nov;76(3):646-678. doi: 10.1111/bmsp.12293. Epub 2022 Dec 2.ABSTRACTObservational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and diagnosis of individuals/participants. But regression analysis with weighted composites has been known to yield attenuated regression coefficients when predictors contain errors. Cont...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Ke-Hai Yuan Yongfei Fang Source Type: research

A sequential exploratory diagnostic model using a P ólya-gamma data augmentation strategy
Br J Math Stat Psychol. 2023 Nov;76(3):513-538. doi: 10.1111/bmsp.12307. Epub 2023 May 21.ABSTRACTCognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmen...
Source: The British Journal of Mathematical and Statistical Psychology - October 3, 2023 Category: Statistics Authors: Auburn Jimenez James Joseph Balamuta Steven Andrew Culpepper Source Type: research