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A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing
Br J Math Stat Psychol. 2023 May 10. doi: 10.1111/bmsp.12305. Online ahead of print.ABSTRACTChangepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is essential to properly differentiate examinees' aberrant behaviours from solution behaviour to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to monitor the locations of changepoints for response times in real time and, subsequently, further identify types of aberrant behaviours in conjunction with response patterns. Two simulation...
Source: The British Journal of Mathematical and Statistical Psychology - May 11, 2023 Category: Statistics Authors: Jing Lu Chun Wang Jiwei Zhang Xue Wang Source Type: research

A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing
Br J Math Stat Psychol. 2023 May 10. doi: 10.1111/bmsp.12305. Online ahead of print.ABSTRACTChangepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is essential to properly differentiate examinees' aberrant behaviours from solution behaviour to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to monitor the locations of changepoints for response times in real time and, subsequently, further identify types of aberrant behaviours in conjunction with response patterns. Two simulation...
Source: The British Journal of Mathematical and Statistical Psychology - May 11, 2023 Category: Statistics Authors: Jing Lu Chun Wang Jiwei Zhang Xue Wang Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
Br J Math Stat Psychol. 2023 Apr 18. doi: 10.1111/bmsp.12304. Online ahead of print.ABSTRACTIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred met...
Source: The British Journal of Mathematical and Statistical Psychology - April 18, 2023 Category: Statistics Authors: Florian Schuberth Tamara Schamberger Mikko R önkkö Yide Liu J örg Henseler Source Type: research