Most papers are machine-translated to English; some are originally in English.
Showing 13 of 13 papers in Psychometrics
In cognitive diagnostic assessment, differential item functioning (DIF) detection is an essential technical means for evaluating test fairness and measurement validity. However, existing cognitive diagnostic DIF detection methods are limited to main-effect DIF detection from the perspective of a sin…
Through a test simulation study where polytomous items are scored non-continuously, the results show that the bias and root mean square error (RMSE) of item parameters under the Logistic weighted model are relatively small. This indicates that the Logistic weighted model can simulate non-continuous …
Neural networks, as the most important machine learning method, have been widely used in cognitive diagnosis; however, there is currently no simple and universal neural network cognitive diagnosis method. Therefore, a Q-matrix constrained neural network cognitive diagnosis method (Bi-QNN) is propose…
Generative Large Language Models (LLMs) are artificial intelligence models pre-trained on large-scale corpora, bringing unprecedented opportunities and challenges to the field of psychometrics. By integrating the developmental trajectory of interdisciplinary research between artificial intelligence …
Attribute levels (dichotomous attributes and polytomous attributes) and item ideal scoring methods (0-1 scoring and polytomous scoring) constitute two important dimensions in cognitive diagnostic test design. Polytomous attribute tests can provide more detailed diagnostic information, while polytomo…
Currently, most research on CD-CAT has been conducted based on 0-1 scoring data, whereas in actual educational and psychological testing, there also exists a large amount of nominal response data. This study develops a CD-CAT suitable for nominal response data (hereinafter referred to as NCD-CAT) ba…
Typically, cognitive diagnosis necessitates diagnostic evaluation of examinees through cognitive diagnosis models. The validity of diagnostic results generated by cognitive diagnosis models depends on the congruence between examinees' response patterns and the selected model. Consequently, when eval…
Generalizability Theory is widely applied in the field of psychological and educational measurement. How to achieve optimal reliability of measurement procedures under budget constraints is an important issue that researchers need to consider, and this problem can be transformed into one of optimal …
This study proposes a personal fit statistic R for polytomous scoring items to investigate its performance in detecting six common aberrant response patterns (cheating, guessing, random responding, carelessness, innovative responding, and mixed aberrance), and compares it with the standardized log-l…
Abstract: [Objective] To revise the Feminist Identity Development Scale (FIDS) and examine its reliability and validity among Chinese female college students. [Method] A total of 1657 female college students were administered the Chinese version of FIDS, the Self-Esteem Scale (SES), and the Hostile …
During the first two decades of the 21st century, domestic methodological research on Structural Equation Modeling (SEM) primarily encompassed five themes: model development, parameter estimation, model evaluation, measurement invariance, and special data processing, with particularly substantial ac…
The standard errors (Standard Error, SE; or variance-covariance matrix) and confidence intervals (Confidence Interval, CI) of cognitive diagnosis models have important theoretical and practical value in measuring uncertainty in model parameter estimation, differential item functioning detection, mod…
Symptoms of Autism Spectrum Disorder (ASD) manifest during early infancy and toddlerhood, wherein earlier detection facilitates earlier intervention and yields superior treatment outcomes. Traditional approaches to early autism screening and diagnosis exhibit limitations in assessment methodologies …
