This function implements the upsilon effect size statistic as described in Lachowicz, Preacher, & Kelley (in press).
upsilon(x, mediator, dv, conf.level = 0.95, bootstrap = TRUE, B = 1000,
boot.type = "ordinary", ...)x is the independent variable.
mediator is the mediator variable.
dv is the outcome or dependent variable.
conf.level is the desired confidence coefficient (i.e., the complement of the Type I error rate).
TRUE or FALSE regarding if a bootstrap confidence interval should be performed.
The number of bootstrap replications
The type of bootstrap confidence interval.
Allows specifictions for functions that are used within this function.
Returns the value of the effect size upsilon for a simple mediation model.
Lachowicz, M. J., Preacher, K. J., & Kelley, K. (in press). A novel measure of effect size for mediation analysis. Psychological Methods, X, X--X.
Preacher, K. J., & Kelley, K. (2011). Effect size measures for mediation models: quantitative strategies for communicating indirect effects. Psychological Methods, 16, 93--115.
Wen, Z., & Fan, X. (2015). Monotonicity of effect sizes: Questioning kappa-squared as mediation effect size measure. Psychological Methods, 20, 193--203.