AI Medical Compendium Journal:
The British journal of mathematical and statistical psychology

Showing 1 to 8 of 8 articles

Frequency-adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction.

The British journal of mathematical and statistical psychology
Ordinal responses commonly occur in psychology, e.g., through school grades or rating scales. Where traditionally parametric statistical models like the proportional odds model have been used, machine learning (ML) methods such as random forest (RF) ...

Applying support vector machines to a diagnostic classification model for polytomous attributes in small-sample contexts.

The British journal of mathematical and statistical psychology
Over several years, the evaluation of polytomous attributes in small-sample settings has posed a challenge to the application of cognitive diagnosis models. To enhance classification precision, the support vector machine (SVM) was introduced for esti...

Exploring examinees' responses to constructed response items with a supervised topic model.

The British journal of mathematical and statistical psychology
Textual data are increasingly common in test data as many assessments include constructed response (CR) items as indicators of participants' understanding. The development of techniques based on natural language processing has made it possible for re...

Two efficient selection methods for high-dimensional CD-CAT utilizing max-marginals factor from MAP query and ensemble learning approach.

The British journal of mathematical and statistical psychology
Computerized adaptive testing for cognitive diagnosis (CD-CAT) needs to be efficient and responsive in real time to meet practical applications' requirements. For high-dimensional data, the number of categories to be recognized in a test grows expone...

A new person-fit method based on machine learning in CDM in education.

The British journal of mathematical and statistical psychology
Cognitive diagnosis models have become popular in educational assessment and are used to provide more individualized feedback about a student's specific strengths and weaknesses than traditional total scores. However, if the testing data are contamin...

Towards end-to-end likelihood-free inference with convolutional neural networks.

The British journal of mathematical and statistical psychology
Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fu...

Sequential detection of learning in cognitive diagnosis.

The British journal of mathematical and statistical psychology
In order to look more closely at the many particular skills examinees utilize to answer items, cognitive diagnosis models have received much attention, and perhaps are preferable to item response models that ordinarily involve just one or a few broad...

A general proof of consistency of heuristic classification for cognitive diagnosis models.

The British journal of mathematical and statistical psychology
The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633-665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is g...