mediation.effect.bar.plot: Bar plots of mediation effects

Description

Provides an effect bar plot in the context of simple mediation.

Usage

mediation.effect.bar.plot(x, mediator, dv, 
main = "Mediation Effect Bar Plot", width = 1, left.text.adj = 0, 
right.text.adj = 0, rounding = 3, file = "", save.pdf = FALSE, 
save.eps = FALSE, save.jpg = FALSE, ...)

Value

Only a figure is returned

Arguments

x: vector of the predictor/independent variable
mediator: vector of the mediator variable
dv: vector of the dependent/outcome variable
main: main title
width: width of bar, default 1
left.text.adj: for fine tuning left side text adjustment
right.text.adj: for fine tuning right side text adjustment
rounding: how to round so that the values displayed in the plot do not have too few or too many significant digits
file: file name of the plot to be saved (not necessary)
save.pdf: TRUE or FALSE if the produced figure should be saved as a PDF file
save.eps: TRUE or FALSE if the produced figure should be saved as an EPS file
save.jpg: TRUE or FALSE if the produced figure should be saved as a JPG file
...: optional additional specifications for nested functions

Author

Ken Kelley (University of Notre Dame; KKelley@nd.edu)

Details

Provides an effect bar for mediation (Bauer, Preacher, & Gil, 2006) may be used to plot the results of a mediation analysis compactly. Effect bars represent, in a single metric, the relative magnitudes of several values that are important for interpreting indirect effects. Preacher and Kelley (2011) discuss this plotting method also.

References

Bauer, D. J., Preacher, K. J., & Gil, K. M. (2006). Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New procedures and recommendations. Psychological Methods, 11, 142--163.

Preacher, K. J., & Kelley, K. (2011). Effect size measures for mediation models: Quantitative and graphical strategies for communicating indirect effects. Psychological Methods, 16, 93--115.