Post
A simulated semantic-priming study shows how precision, sign errors, magnitude errors and singular fits can be examined alongside power before choosing a design.
Software Package
Web application
Simulation-based design analysis from a portable R and Python specification.
Post
A custom R function to create ggplot2 visualizations of power curves generated by the simr package's powerCurve function for mixed-effects models.
Publication
Research has suggested that conceptual processing depends on both language-based and vision-based information. We tested this interplay at three levels of the experimental structure: individuals, words and tasks. To this end, we drew on three …
Publication
Multilevel analyses investigating the interplay between language-based and vision-based information in conceptual processing across semantic priming, semantic decision and lexical decision paradigms, with power analyses revealing sample size requirements for examining perceptual simulation and individual differences.
Post
Three strategies for reducing computation time when using simr::powercurve with Kenward-Roger or Satterthwaite methods: using high-performance computing, parallelizing different effects, and parallelizing different sample sizes within the breaks argument.
Presentation
The first study (Bernabeu et al., 2021) will merge existing datasets (Lynott et al., 2020; Pexman et al., 2017; Pexman & Yap, 2018; Wingfield & Connell, 2019). The second study will collect novel data to investigate questions such as the unique roles of vocabulary size, sensorimotor experience and attentional control.