Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

Considering the importance of mathematics in modern society, it is crucial to understand the cognitive processes involved in the acquisition of complex mathematical competency. As a new generation of evaluation theory, cognitive diagnosis has its unique advantages in personalized evaluation. Based on the mathematical cognitive framework of Trends…

To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…

The assessment of differential item functioning (DIF) is routinely conducted to ensure test fairness and validity. Although many DIF assessment methods have been developed in the context of classical test theory and item response theory, they are not applicable for cognitive diagnosis models (CDMs), as the underlying latent attributes of CDMs are…

Analyzing examinees' responses using cognitive diagnostic models (CDMs) has the advantage of providing diagnostic information. To ensure the validity of the results from these models, differential item functioning (DIF) in CDMs needs to be investigated. In this article, the Wald test is proposed to examine DIF in the context of CDMs. This study…

Problem-­solving assessment is an essential component of multi-­tiered systems of support such as response to intervention (RTI) and positive behavioral interventions and supports (PBIS). This authoritative work provides a complete guide to implementing a wide range of problem­-solving assessment methods, including: (1) functional behavioral…

The authors aimed to incorporate learning into the cognitive assessment framework that exists for static assessment data. In order to accomplish this, they derive a common likelihood function for dynamic models and introduce Parameter Driven Process for Change + Cognitive Diagnosis Model (PDPC + CDM), a dynamic model which tracks learning…

This report makes recommendations for the development of middle-school assessment in mathematics, based on a synthesis of scientific findings in cognitive psychology and mathematics education. The focus is on background research, rather than test specifications or example tasks. Readers interested in early development and pilot efforts associated…

Receiver operating characteristic (ROC) analysis is being used increasingly to examine the memory processes underlying recognition memory. The authors discuss the methodological issues involved in conducting and analyzing ROC results, describe the various models that have been developed to account for these results, review the behavioral empirical…

Presents overview of cognitive assessment, with emphasis on self-statement assessment. Reviews clinically useful methods of cognitive assessment and presents States of Mind model to illustrate interpretive framework for thought data and their relationship to psychopathology. Presents two case studies to illustrate specific techniques of…

CERTAIN SYSTEMS FOR CLASSIFYING COGNITIVE FUNCTIONS ARE REVIEWED AND COMPARED IN A DISCUSSION OF GENERALIZING PROCESSES USED FOR EVALUATING INSTRUCTIONAL OUTCOMES. THE AUTHOR STATES THAT THERE ARE TWO IMPORTANT GENERALIZATIONS TO BE MADE IN THE EVALUATION OF INSTRUCTIONAL PROGRAMS--GENERALIZING THE PROGRAM RESULTS AND THE SKILLS OF THE…

Demands for more complete information on educational programs have emanated from national, state and local sources. Their focus is on the processes that are occurring in individual classrooms. The information that is collected to provide insight into educational programs is customarily summative in nature, answering, for example, questions…

Cognitive and language measures were administered to 37 preschoolers with language delay to investigate the agreement of the profiles in determining eligibility for language intervention services. Results found a sizable variation in categorization outcomes for the various intelligence quotient/language quotient profiles. The validity of the…