Uncover the latest and most impactful research in Statistical Methods in Psychological Science. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field.
Background ClinicalTrials.gov is the world’s largest clinical trial registry and a cornerstone of transparency in research involving human beings. Since its launch in 2000, the registry has undergone several regulatory and technical updates. However,...
Purpose Artificial intelligence (AI) holds strong potential to automate repetitive and data-intensive life cycle assessment (LCA) tasks, thereby reducing costs, enabling scalability, and improving data access. This study critically analyzes the...
Through a PRISMA-guided systematic literature review of peer-reviewed publications (2021–2025), this study mapped the conceptualization, implementation pathways, and empirical evidence of AI literacy in higher education, drawing on a screened corpus...
Background The sustainability of cancer screening programs remains a key challenge in many European countries, following two decades of policy efforts. Measuring sustainability is a critical step toward improving implementation outcomes and ensuring...
Artificial Intelligence (AI) does not constitute a single phenomenon in archival practice. It may generate potential records, support archival functions, assist tool development, analyze holdings, become an object of preservation, or mediate access....
An acceptable standard of care in medical practice, including histopathology, is both a professional and legal requirement, yet its definition is increasingly challenged by rapid technological advances, including molecular testing, digital pathology...
This study examined whether target-informed, author-guided large language model (LLM) refinement alters author-reader alignment and comprehension in Chinese texts. Two controlled experiments compared original texts with versions refined by GPT-4...
The replication crisis in medicine has cautioned us not to base our medical inferences on a single study. Instead, replication studies have been widely argued to be a cure for many of the ills causing the replication crisis. The plausible thought is...
The Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study has had a lasting impact on the treatment of schizophrenia, yet its current role in psychiatric education and treatment policy remains unclear. This study aimed to assess...
Brain age modelling estimates chronological age from neuroimaging features, and the brain age gap between predicted and chronological age is used as a marker of atypical brain aging. SHapley Additive exPlanations (SHAP) attributions are widely...
Agentic artificial intelligence (AI) systems are increasingly deployed in retail and supply chain operations, yet the empirical evidence for their efficacy has never been systematically quantified. This meta-analysis synthesizes 19 studies (total $$N...
Evaluating long-horizon robot manipulation policies is a high-throughput computing workload: one CALVIN-style campaign sweeps checkpoints, seeds and task sequences across many concurrent simulator workers, consuming tens of thousands of rollouts...
AI is widely promised to advance Sustainable Development Goal 4, yet commitments to fairness, transparency and agency require practical means of scrutiny. I develop a framework that connects conceptual reflexivity and collective virtues with...
An AI tool’s effectiveness relies upon the degree to which its training data possesses cluster points. The riskiness of an assets projected return is inversely related to the peakedness of its returns distribution. Distributions within a mixture are...
Background The RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance) is widely used to evaluate how evidence-based practices are implemented and adapted within healthcare organisations. How its domains are measured in...
Criteria-Based Content Analysis (CBCA) is the primary instrument used to evaluate the quality of a statement. To date, little research has examined whether CBCA is susceptible to cognitive bias, and existing findings are inconsistent. In this paper,...
Background Randomized controlled trials (RCTs) remain the gold standard for evaluating medical interventions, yet they face persistent methodological challenges: patient dropout, inadequate sample sizes, premature termination, missing data, and the...
