Simulation-based inference with R for ANOVA design experiments with Vimal Rao скачать в хорошем качестве

Simulation-based inference with R for ANOVA design experiments with Vimal Rao

A common design for psychological experiments is a comparison of measures between groups of participants based on their experimental condition. This design is analogous to the ANOVA statistical model. Using the mathematically-defined F-distribution is an opaque way of operationalizing ANOVA designs. Instead, this workshop focus on simulation-based approaches and will teach attendees how to utilize R and simulation to compare experimental data to the expectations based on candidate hypotheses. Topics covered will include (1) Specifying a detailed design model, (2) Identifying random sources of variation, (3) identifying and quantifying potential experimental sources of variation, (4) simulating results under candidate models, (5) drawing conclusions.