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MBESS (version 4.4.1)

upsilon: A function for estimating the mediation effect size as discussed in Lachowicz, Preacher, & Kelley (in press).

Description

This function implements the upsilon effect size statistic as described in Lachowicz, Preacher, & Kelley (in press).

Usage

upsilon(x, mediator, dv, conf.level = 0.95, bootstrap = TRUE, B = 1000,
boot.type = "ordinary", ...)

Arguments

x

x is the independent variable.

mediator

mediator is the mediator variable.

dv

dv is the outcome or dependent variable.

conf.level

conf.level is the desired confidence coefficient (i.e., the complement of the Type I error rate).

bootstrap

TRUE or FALSE regarding if a bootstrap confidence interval should be performed.

B

The number of bootstrap replications

boot.type

The type of bootstrap confidence interval.

Allows specifictions for functions that are used within this function.

Value

Returns the value of the effect size upsilon for a simple mediation model.

References

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.

See Also

mediation