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Rotation Local Solutions in Multidimensional Item Response Models
Statistical Methods and Data Analysis

Rotation Local Solutions in Multidimensional Item Response Models

Nguyen and Waller’s (2024) study provides an in-depth analysis of factor-rotation local solutions (LS) within multidimensional, two-parameter logistic (M2PL) item response models. Through an extensive Monte Carlo simulation, the research evaluates how different factors influence rotation algorithms’ performance, contributing to a deeper understanding of multidimensional psychometric models. Background The study …

Modeling Eye Movements During Decision Making
Cognitive Neuroscience and Brain Function

Peering into Decision Making: Exploration of Modeling Eye Movements

The study by Wedel, Pieters, and van der Lans (2023) reviews advancements in modeling eye movements to understand decision-making processes. Eye tracking offers valuable insights into perceptual and cognitive mechanisms, making it a powerful tool for studying how individuals evaluate and make decisions. Background Eye movement studies have been instrumental …