JSmediation-package: JSmediation
In cedricbatailler/JSmediation: Mediation Analysis Using Joint Significance
JSmediation-package R Documentation
JSmediation
Description
A set of functions to conduct joint-significance tests for
mediation analysis.
Details
The main functions of the JSmediation package follow an
mdt_* pattern. mdt_* family functions allow you to conduct
joint-significance tests for various mediation models (see Judd, Yzerbyt, &
Muller, 2014; Muller, Judd, & Yzerbyt, 2005; Yzerbyt, Muller, Batailler, &
Judd, 2018).
The syntax for mdt_* family functions is usually the same. The first
argument is always a data frame (data) which is followed by the
variable names involved in the model (e.g., DV, IV). Because mdt_*
family functions use non-standard evaluation, these variable names must
generally be specified unquoted.
mdt_* family functions allow you to create an object of class
"mediation_model" for which various methods are implemented. The
add_index method computes the (moderated) indirect effect
index using Monte Carlo for the different mediation models
JSmediation offers.
See vignette("jsmediation") for a general introduction and overview
of JSmediation.
Author(s)
Maintainer: Cédric Batailler cedric.batailler@gmail.com (ORCID)
Authors:
Dominique Muller (ORCID)
Vincent Yzerbyt
Charles Judd
Other contributors:
Yoann Julliard (ORCID) [contributor]
Arnold Ho [data contributor]
Nour Kteily [data contributor]
Jacqueline Chen [data contributor]
Simone Dohle [data contributor]
Michael Siegrist [data contributor]
References
Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When moderation
is mediated and mediation is moderated. Journal of Personality and
Social Psychology, 89(6), 852–863. doi: 10.1037/0022-3514.89.6.852
Judd, C. M., Yzerbyt, V. Y., & Muller, D. (2014). Mediation and
Moderation. In H. T. Reis & C. M. Judd (Eds.), Handbook of Research
Methods in Social and Personality Psychology (2nd ed., pp. 653–676). New
York: Cambridge University Press.
Yzerbyt, V., Muller, D., Batailler, C., & Judd, C. M. (2018). New
recommendations for testing indirect effects in mediational models: The
need to report and test component paths. Journal of Personality and
Social Psychology, 115(6), 929–943. doi: 10.1037/pspa0000132
See Also
Useful links:
cedricbatailler/JSmediation documentation built on March 4, 2024, 12:52 p.m.
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| JSmediation-package | R Documentation |
JSmediation
Description
A set of functions to conduct joint-significance tests for mediation analysis.
Details
The main functions of the JSmediation package follow an
mdt_* pattern. mdt_* family functions allow you to conduct
joint-significance tests for various mediation models (see Judd, Yzerbyt, &
Muller, 2014; Muller, Judd, & Yzerbyt, 2005; Yzerbyt, Muller, Batailler, &
Judd, 2018).
The syntax for mdt_* family functions is usually the same. The first
argument is always a data frame (data) which is followed by the
variable names involved in the model (e.g., DV, IV). Because mdt_*
family functions use non-standard evaluation, these variable names must
generally be specified unquoted.
mdt_* family functions allow you to create an object of class
"mediation_model" for which various methods are implemented. The
add_index method computes the (moderated) indirect effect
index using Monte Carlo for the different mediation models
JSmediation offers.
See vignette("jsmediation") for a general introduction and overview
of JSmediation.
Author(s)
Maintainer: Cédric Batailler cedric.batailler@gmail.com (ORCID)
Authors:
Dominique Muller (ORCID)
Vincent Yzerbyt
Charles Judd
Other contributors:
Yoann Julliard (ORCID) [contributor]
Arnold Ho [data contributor]
Nour Kteily [data contributor]
Jacqueline Chen [data contributor]
Simone Dohle [data contributor]
Michael Siegrist [data contributor]
References
Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89(6), 852–863. doi: 10.1037/0022-3514.89.6.852
Judd, C. M., Yzerbyt, V. Y., & Muller, D. (2014). Mediation and Moderation. In H. T. Reis & C. M. Judd (Eds.), Handbook of Research Methods in Social and Personality Psychology (2nd ed., pp. 653–676). New York: Cambridge University Press.
Yzerbyt, V., Muller, D., Batailler, C., & Judd, C. M. (2018). New recommendations for testing indirect effects in mediational models: The need to report and test component paths. Journal of Personality and Social Psychology, 115(6), 929–943. doi: 10.1037/pspa0000132
See Also
Useful links:
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