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Power analysis for regression models which test the interaction of two independent variables on a single dependent variable. Includes options for continuous, binary, or ordinal variables, as well as correlated interacting variables. Also includes options to specify variable reliability. Power analyses can be done either analytically or via simulation. Includes tools for simulating single data sets and visualizing power analysis results. The primary functions are power_interaction_r2() and power_interaction(). Please cite as: Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2022). "Tutorial: Power analyses for interaction effects in cross-sectional regressions." doi:10.31234/osf.io/5ptd7.
Citation | InteractionPoweR citation info |
dbaranger.github.io/InteractionPoweR/ | |
doi.org/10.31234/osf.io/5ptd7 | |
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