BayesianInt is a valuable application designed to aid users in exploring Bayes factors specifically for testing interactions in statistical analysis. The tool can calculate Bayes factors for both 2x2 between-groups and within-participants designs. It introduces a rule of thumb to estimate the required sample size for a well-powered clinical study design. Bayes factors play a crucial role in statistical analysis, particularly for psychologists investigating whether an experimental manipulation has different effects in various conditions. BayesianInt demonstrates through a case study that neglecting the test of interaction can lead to unjustified conclusions and emphasizes the principle that any assertion about interaction necessitates a direct comparison of conditions. It serves as an educational resource to prevent misinterpretations in statistical analyses, promoting a more accurate and nuanced understanding of experimental outcomes. Published: https://doi.org/10.31234/osf.io/qjrg4

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.

No application notes or reviews.