Simple slopes analysis is dumb

Simple slopes analysis is one of the most common ways researchers interpret interaction effects in regression models. But the traditional ±1 SD probing method can easily lead to misleading conclusions, especially when moderator distributions are skewed, models are misspecified, or interactions are driven by outliers. This video explores the limitations of simple slopes and demonstrates how a visualization-first workflow can lead to more reliable insights. My visual partitions paper: https://osf.io/preprints/psyarxiv/avu... My visualization playlist:    • Visualizing Data   For the self-guided simplistics course: https://simplistics.net/course/univar... For the self-guided visualization course: https://simplistics.net/course/random... For the self-guided Mixed Models course: https://simplistics.net/course/mixed/ For the self-guided R course: https://simplistics.net/course/introd... For other classes, see: https://simplistics.net/all-courses/ For consulting, see: https://simplistics.net/product/stati...