MBESS (version 4.1.0)

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, ...)

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

Value

Only a figure is returned

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.

See Also

mediation, mediation.effect.bar.plot