In any meta-analysis, it is critically important to report the dispersion in effects as well as the mean effect. If an intervention has a moderate clinical impact "on average" we also need to know if the impact is moderate for all relevant populations, or if it varies from trivial in some to major in others. Or indeed, if the…

Across two studies, children ages 6-9 (N = 160, 82 boys, 78 girls; 75% White, 91% non-Hispanic) rated an inaccurate expert's knowledge and provided explanations for the expert's inaccurate statements. In Study 1, children's knowledge ratings decreased as he provided more inaccurate information. Ratings were predicted by age (i.e., older children…

This article introduces a novel method that integrates collaborative filtering into the naive Bayes model to enhance predicting student academic performance. The combined approach leverages collaborative user behavior analysis and probabilistic modeling, showing promising results in improved prediction precision. Collaborative Filtering explores…

Datasets are critical for emotion analysis in the machine learning field. This study aims to explore emotion analysis datasets and related benchmarks in online learning, since, currently, there are very few studies that explore the same. We have scientifically labeled the topic and nine-category emotion of 4715 comment texts in online learning…

This article presents an exploration of college student perspectives of their zeitgeist over five semesters during and after the COVID-19 pandemic. At the start of each semester, from Spring 2021 through Spring 2023, between 100 and 150 individuals offered words and/or phrases which they believed characterized the spirit of the time. While this…

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…

Creativity, and more recently dark creativity, have yet to be studied in relation to moral foundations, especially against the background of dark traits. This study identified moral foundations that predicted creativity, particularly malevolent creativity, after accounting for Dark Triad/Tetrad traits. Data (N = 529, M[subscript age] = 20.10…

Drawing on an economic, value-based framework of creative idea appraisals, we predict that the attributes of idea usefulness and novelty jointly inform people's decisions to allocate time toward collaborative implementation efforts. In a correlational design, we found support in our first study (n = 82) for an interaction between perceived idea…

The meta-analytic-predictive (MAP) approach is a Bayesian meta-analytic method to synthesize and incorporate information from historical controls in the analysis of a new trial. Classically, only a single parameter, typically the intercept or rate, is assumed to vary across studies, which may not be realistic in more complex models. Analysis of…

Conspiracy beliefs have negative effects on decision making in several life areas including health, ethical, political and environmental domains. But their influence on financial decisions is not known. The current study examines the mediational role of social trust in the relationship between non-financial conspiracy beliefs and stock market…

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…

The stress literature suggests that coping strategies are implicated in mental health outcomes. However, the longitudinal relationship between coping strategies and mental health in the autistic adult population has not yet been examined. This 2-year longitudinal study examined the predictive role of both baseline and change in coping strategy use…

This study investigates the predictive relationship between academic resilience and cognitive flexibility among students in biology lessons enhanced by design thinking. Using an embedded quasi-experimental design, we compared the effects of design thinking-enhanced lessons with conventional engage, explore, explain, elaborate, evaluate (5E)-based…

This article presents a group assignment that introduces undergraduate students to the biblical prophets: their original context, their attentiveness to social issues, and the rhetorical methods they utilize. In the assignment, students compose a prophecy set in the modern day that is modeled on the book of Amos. Due to the collaborative nature of…