The British Journal of Mathematical and Statistical Psychology 
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This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.On generating plausible values for multilevel modelling with large-scale-assessment data
Br J Math Stat Psychol. 2023 Nov 13. doi: 10.1111/bmsp.12326. Online ahead of print.ABSTRACTLarge-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect common in LSA data, multilevel modelling is a popular choice. However, most LSAs use single-level conditioning methods, resulting in a mismatch between the imputation model and the multilevel analytic model. While some LSAs have implemented special techniques in single-level latent regressions to suppo...
Source: The British Journal of Mathematical and Statistical Psychology - November 13, 2023 Category: Statistics Authors: Xiaying Zheng Source Type: research
On generating plausible values for multilevel modelling with large-scale-assessment data
Br J Math Stat Psychol. 2023 Nov 13. doi: 10.1111/bmsp.12326. Online ahead of print.ABSTRACTLarge-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect common in LSA data, multilevel modelling is a popular choice. However, most LSAs use single-level conditioning methods, resulting in a mismatch between the imputation model and the multilevel analytic model. While some LSAs have implemented special techniques in single-level latent regressions to suppo...
Source: The British Journal of Mathematical and Statistical Psychology - November 13, 2023 Category: Statistics Authors: Xiaying Zheng Source Type: research
On generating plausible values for multilevel modelling with large-scale-assessment data
Br J Math Stat Psychol. 2023 Nov 13. doi: 10.1111/bmsp.12326. Online ahead of print.ABSTRACTLarge-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect common in LSA data, multilevel modelling is a popular choice. However, most LSAs use single-level conditioning methods, resulting in a mismatch between the imputation model and the multilevel analytic model. While some LSAs have implemented special techniques in single-level latent regressions to suppo...
Source: The British Journal of Mathematical and Statistical Psychology - November 13, 2023 Category: Statistics Authors: Xiaying Zheng Source Type: research
On generating plausible values for multilevel modelling with large-scale-assessment data
Br J Math Stat Psychol. 2023 Nov 13. doi: 10.1111/bmsp.12326. Online ahead of print.ABSTRACTLarge-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect common in LSA data, multilevel modelling is a popular choice. However, most LSAs use single-level conditioning methods, resulting in a mismatch between the imputation model and the multilevel analytic model. While some LSAs have implemented special techniques in single-level latent regressions to suppo...
Source: The British Journal of Mathematical and Statistical Psychology - November 13, 2023 Category: Statistics Authors: Xiaying Zheng Source Type: research
On generating plausible values for multilevel modelling with large-scale-assessment data
Br J Math Stat Psychol. 2023 Nov 13. doi: 10.1111/bmsp.12326. Online ahead of print.ABSTRACTLarge-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect common in LSA data, multilevel modelling is a popular choice. However, most LSAs use single-level conditioning methods, resulting in a mismatch between the imputation model and the multilevel analytic model. While some LSAs have implemented special techniques in single-level latent regressions to suppo...
Source: The British Journal of Mathematical and Statistical Psychology - November 13, 2023 Category: Statistics Authors: Xiaying Zheng Source Type: research
On generating plausible values for multilevel modelling with large-scale-assessment data
Br J Math Stat Psychol. 2023 Nov 13. doi: 10.1111/bmsp.12326. Online ahead of print.ABSTRACTLarge-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect common in LSA data, multilevel modelling is a popular choice. However, most LSAs use single-level conditioning methods, resulting in a mismatch between the imputation model and the multilevel analytic model. While some LSAs have implemented special techniques in single-level latent regressions to suppo...
Source: The British Journal of Mathematical and Statistical Psychology - November 13, 2023 Category: Statistics Authors: Xiaying Zheng Source Type: research
On generating plausible values for multilevel modelling with large-scale-assessment data
Br J Math Stat Psychol. 2023 Nov 13. doi: 10.1111/bmsp.12326. Online ahead of print.ABSTRACTLarge-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect common in LSA data, multilevel modelling is a popular choice. However, most LSAs use single-level conditioning methods, resulting in a mismatch between the imputation model and the multilevel analytic model. While some LSAs have implemented special techniques in single-level latent regressions to suppo...
Source: The British Journal of Mathematical and Statistical Psychology - November 13, 2023 Category: Statistics Authors: Xiaying Zheng Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
Correction to 'a note on computing Louis' observed information matrix identity for IRT and cognitive diagnostic models'
Br J Math Stat Psychol. 2023 Oct 25. doi: 10.1111/bmsp.12325. Online ahead of print.NO ABSTRACTPMID:37881106 | DOI:10.1111/bmsp.12325 (Source: The British Journal of Mathematical and Statistical Psychology)
Source: The British Journal of Mathematical and Statistical Psychology - October 26, 2023 Category: Statistics Source Type: research
