In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…

In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…

The response time concealed information test (RT-CIT) can reveal that a person recognizes a relevant item (probe) among other, irrelevant items, based on slower responding to the probe compared to the irrelevant items. Thereby, if this person is concealing knowledge about the relevance of this item (e.g., recognizing it as a murder weapon), this…

We evaluated the detailed, behavioral properties of face matching performance in two specialist groups: forensic facial examiners and super-recognizers. Both groups compare faces to determine identity with high accuracy and outperform the general population. Typically, facial examiners are highly trained; super-recognizers rely on natural ability.…

Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized…

Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…

Child protection social workers in England are required to make many decisions in their day-to-day work, including whether to accept a referral, undertake a child protection investigation, pursue care proceedings, or close the case. Many of these decisions involve implicit or explicit predictions about the likelihood of future actions, events, and…

Purpose: The goal of the current study was to conduct a substantive validity review of four autism knowledge assessments with prior psychometric support (Gillespie-Lynch in J Autism and Dev Disord 45(8):2553-2566, 2015; Harrison in J Autism and Dev Disord 47(10):3281-3295, 2017; McClain in J Autism and Dev Disord 50(3):998-1006, 2020; McMahon…

Metacognitive reasoning is central to decision-making. For every decision, we can also judge our trust in that decision, or our level of "confidence." The mechanisms and representations underlying reasoning about confidence remain debated. We test whether children rely on "processing fluency" to infer their own confidence: do…

In healthcare, effective communication in complex situations such as end of life conversations is critical for delivering high quality care. Whether residents learn from communication training with actors depends on whether they are able to select appropriate information or 'predictive cues' from that learning situation that accurately reflect…

Learners who lack the perception of specific sounds or pronunciation can attain a measure of inability to participate in meaningful communication due to their difficulties in understanding and being understood. This article presents lesson plans that provide a framework for addressing the needs of learners as they move from perceiving sounds to…

A 2016 field study conducted in collaboration with the Houston Police Department reported that simultaneous lineups were diagnostically superior to sequential lineups, that confidence was strongly predictive of accuracy, and that high-confidence suspect identifications were highly reliable. The study also estimated that most lineups (65%)…

Students change their responses during tests, and these revisions are often correct. Some studies have suggested that decisions regarding revisions are informed by metacognitive monitoring. We investigated whether assessing and reporting response confidence increases the accuracy of revisions and the final test score, and whether confidence in a…

The integration of artificial intelligence (AI), and particularly generative AI, into research methods is rapidly transforming both academic and industry marketing research, including both methods practices and education regarding these practices. AI application within methods offers new opportunities for enhancing efficiency, automating…

Although learning approaches are designed to enhance individuals' ability to store and retrieve information, not all of them are considered effective. The goal of the present study was to experimentally compare the test performance as well as the accuracy of metacognitive judgements of a multiple text reading group, rereading group, and single…