In the present study, we examined how the perceived attainability and relatability of moral exemplars predicted moral elevation and pleasantness among both adult and college student participants. Data collected from two experiments were analyzed with Bayesian multilevel modeling to explore which factors significantly predicted outcome variables at…

The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we…

Preventing panel members from attriting is a fundamental challenge for panel surveys. Research has shown that response behavior in earlier waves (response or nonresponse) is a good predictor of panelists' response behavior in upcoming waves. However, response behavior can be described in greater detail by considering the time until the response is…

A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…

The overriding aim of this study was to conduct a side-by-side comparative evaluation of two online suicide prevention gatekeeper-training programs: Question, Persuade, Refer (QPR) and Making Educators Partners in Youth Suicide Prevention (MEP). Specific aims included identifying program components, instructional methods, and technology elements…

Although cyber victimization has been suggested as a significant risk factor for the development of adolescents' depression, the underlying psychopathological process that mediates this relationship needs further exploration. Based on the psychological inflexibility model, this study aimed to examine cognitive fusion and experiential avoidance as…

The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…

This article provides a meta-analysis of studies using the crosswise model (CM) in estimating the prevalence of sensitive characteristics in different samples and populations. On a data set of 141 items published in 33 either articles or books, we compare the difference ([delta]) between estimates based on the CM and a direct question (DQ). The…

This article describes a three-step process by which behaviors are associated with the concept of "giftedness." In the first step, a three-way interaction of a person x task x situation leads to some kind of excellence in a societally significant performance. In the second step, that performance is identified as excellent and societally…

Given limited work modeling the role of individual difference factors and processing variables in students' learning from multiple texts, the author evaluates such a model. In particular, the model analyzed examines the relation between cognitive (i.e., habits with regard to information evaluation) and affective (i.e., interest) individual…

General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory--the component of short-term memory used for temporary…

Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed well compared to other person-fit statistics. However, detection of aberrant responding has primarily focused on dominance response data, thus the…

The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…

Since the late twentieth century, with the development of the Internet of Things (IoT), the IoT covers the application of comprehensive knowledge and technology in the fields of circuitry, physics, mechanics, and information, making it a suitable topic for hands-on science, technology, engineering, and mathematics (STEM) activities. The IoT covers…

Deconversion is a biographical change in which one goes from claiming adherence to a religion to departing from it. A meaning system model can help us understand the processes through which deconversion occurs. Drawing on that framework, we explored how perceiving hypocrisy in one's religious setting influences adolescent deconversion. Irrational…