Background: The Rotterdam Evaluation Study of Stuttering Therapy randomized trial (RESTART) was seminal, comparing the Lidcombe Program with RESTART Demands and Capacities Model-based treatment (RESTART-DCM) for pre-school age children who stutter. Aims: To critique the methods of the RESTART trial to develop guidelines for its systematic…

In recent years, numerous researches have been carried out to investigate and verify how concept maps could be effective in learning management systems. This paper discusses the use of dynamic concept maps (DCMs) as a tool to encourage remediation processes among digital artefacts and analog resources and, consequently, to enhance learning…

The purpose of this study was to support the development and initial validation of the Intervention Selection Profile (ISP)-Skills, a brief 14-item teacher rating scale intended to inform the selection and delivery of instructional interventions at Tier 2. Teacher participants (n = 196) rated five students from their classroom across four measures…

Diagnostic classification models (DCMs) hold great potential for applications in summative and formative assessment by providing discrete multivariate proficiency scores that yield statistically driven classifications of students. Using data from a newly developed diagnostic arithmetic assessment that was administered to 2032 fourth-grade students…

The current study compared the model fit indices, skill mastery probabilities, and classification accuracy of six Diagnostic Classification Models (DCMs): a general model (G-DINA) against five specific models (LLM, RRUM, ACDM, DINA, and DINO). To do so, the response data to the grammar and vocabulary sections of a General English Achievement Test,…

Background: The ageing of people with intellectual disabilities, involving consequences like dementia, creates a need for methods to support care staff. One promising method is Dementia Care Mapping (DCM). This study examined the effect of DCM on job satisfaction and care skills of ID-care staff. Methods: We performed a quasi-experimental study in…

This report presents findings from the Access Evaluation, a study component that is designed to assess the potential impacts of direct certification-Medicaid (DC-M) on students' access to free school meals by conducting retrospective simulations of DC-M in school year 2011-2012, the year before the demonstration began. For the Access Evaluation,…

My dissertation research explored responder behaviors (e.g., demonstrating response styles, carelessness, and possessing misconceptions) that compromise psychometric quality and impact the interpretation and use of assessment results. Identifying these behaviors can help researchers understand and minimize their potentially construct-irrelevant…

Subscore reporting under item response theory models has always been a challenge partly because the test length of each subdomain is limited for precisely locating individuals on multiple continua. Diagnostic classification models (DCMs), providing a pass/fail decision and associated probability of pass on each subdomain, are promising…

Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…

Open educational resources (OER) can be cost-effective alternatives to traditional textbooks for higher education faculty to decrease student spending on textbooks. To further advocate college instructors' use of OER, understanding their value belief towards integrating OER in teaching is necessary but currently absent. This study thus analyzed…

The use of external representations has the potential to facilitate inquiry learning, especially hypothesis generation and reasoning, which typically present difficulties for students. This study describes a novel three-dimensional cognitive mapping (3DCM) approach that supports inquiry learning by allowing learners to combine the information on a…

In item response theory (IRT), the invariance property states that item parameter estimates are independent of the examinee sample, and examinee ability estimates are independent of the test items. While this property has long been established and understood by the measurement community for IRT models, the same cannot be said for diagnostic…

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…

There is a lot of interest in providing detailed reports to schools indicating which skills pupils have mastered and which still need development -- and, more broadly, the knowledge, skills and understanding that pupils have acquired and not yet acquired. Cognitive diagnostic assessment is an approach designed to provide this kind of insight.…