Matthieu J S Brinkhuis
Biographic Data
| ID | 10101375 |
|---|---|
| NAME | Matthieu J S Brinkhuis |
| GIVEN NAMES | Matthieu J S |
| FAMILY NAME | Brinkhuis |
| SIGNATURE | BRINKHUIS M J S |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Properties and performance of the one-parameter log-linear cognitive diagnosis model
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due to useful measurement properties like sum score sufficiency and invariance properties. We demonstrat…
Diagnostic Classification Models for Actionable Feedback in Education: Effects of Sample Size and Assessment Length
E-learning is increasingly used to support student learning in higher education. This results in huge amounts of item response data containing valuable information about students’ strengths and weaknesses that can be used to provide effective feedback to both students and teachers. However, in current practice, feedback in e-learning is often given in the form of a simple proportion of correctly solved items rather than diagnostic, actionable fee…
The effect of estimation method and sample size in multilevel structural equation modeling
Multilevel structural equation modeling (multilevel SEM) has become an established method to analyze multilevel multivariate data. The first useful estimation method was the pseudobalanced method. This method is approximate because it assumes that all groups have the same size, and ignores unbalance when it exists. In addition, full information maximum likelihood (ML) estimation is now available, which is often combined with robust chi‐squares an…
No prominent works on this page.
The effect of estimation method and sample size in multilevel structural equation modeling
Multilevel structural equation modeling (multilevel SEM) has become an established method to analyze multilevel multivariate data. The first useful estimation method was the pseudobalanced method. This method is approximate because it assumes that all groups have the same size, and ignores unbalance when it exists. In addition, full information maximum likelihood (ML) estimation is now available, which is often combined with robust chi‐squares an…
Diagnostic Classification Models for Actionable Feedback in Education: Effects of Sample Size and Assessment Length
E-learning is increasingly used to support student learning in higher education. This results in huge amounts of item response data containing valuable information about students’ strengths and weaknesses that can be used to provide effective feedback to both students and teachers. However, in current practice, feedback in e-learning is often given in the form of a simple proportion of correctly solved items rather than diagnostic, actionable fee…
Properties and performance of the one-parameter log-linear cognitive diagnosis model
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due to useful measurement properties like sum score sufficiency and invariance properties. We demonstrat…
Computer Science (2 works) · Machine learning (2 works) · Mathematics (2 works) · Psychology (2 works) · Statistics (2 works) · Applied Mathematics (1 works) · Artificial Intelligence (1 works) · Bayesian Modeling and Causal Inference (1 works) · Cognition (1 works) · Curse of dimensionality (1 works)