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help for binary_mediation
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Mediation with binary mediator and/or response variables

        binary_mediation [if exp] [in range] , dv(varname) mv(varlist) iv(varname) [ cv(varlist) quietly
                probit diagram ]

Description

    binary_mediation computes indirect effects for models with multiple mediator variables (binary or
    continuous) along with either a binary or continuous response variable using standardized
    coefficients.

    Note: This program does not provide standard errors or statistical tests for coefficients.  Bootstrap
    standard errors and confidence intervals are recommended for this purpose. Here is some example code:
    . quietly bootstrap r(tot_ind) r(dir_eff) r(tot_eff), reps(500): ///
    binary_mediation, dv(honors) iv(ses) mv(hiread socst)
    . estat bootstrap, percentile bc

Options
    cv(varlist) Optional list of covariate variables.
    quietly Supress OLS, probit or logistic regression output.
    probit Use probit instead of logistic regression model.
    diagram Display mediation reference diagram.

Examples

    . binary_mediation, dv(honors) iv(ses) mv(hiread socst)
    . binary_mediation, dv(honors) iv(ses) mv(hiread socst) cv(math science)
    . binary_mediation, dv(honors) iv(ses) mv(hiread socst) quietly diagram
    . binary_mediation, dv(honors) iv(ses) mv(hiread socst) quietly probit
    . binary_mediation, dv(honors) iv(ses) mv(hiread socst) quietly raw

Author

    Phil Ender
    Statistical Consulting Group
    UCLA Academic Technology Services
    ender@ucla.edu

References
    Kenny,D.A.(2008) Mediation with Dichotomous Outcomes. Retrieved April 23, 2010 from website:
        http://davidakenny.net/cm/mediate.htm.
    Kenny,D.A.(2009) Mediation. Retrieved April 23, 2010 from website:
        http://davidakenny.net/cm/mediate.htm.
    Herr,N.A. (undated) Mediation with Dichotomous Outcomes. Retrieved April 23, 2010 from website:
        http://nrherr.bol.ucla.edu/Mediation/logmed.html.