Tutorial of moderated mediation with SEM: the gemm function

P. Verboon; G.J. Peters

doi:10.31234/osf.io/mj2ug

Tutorial of moderated mediation with SEM: the gemm function

Research output: Working paper / Preprint › Preprint

Abstract

Moderated mediation analysis assumes that the effect of a predictor on a dependent variableis mediated by one or more mediators and that the indirect paths in this mediation aremoderated. Moderation can take place on the effect of the predictor on the mediators, or onthe effect of the mediators on the dependent variable.In this tutorial we will show how the R function “gemm” from the “rosetta” packagecan be used to do a moderated mediation analysis.

Original language	English
Publisher	PsyArXiv
Number of pages	33
DOIs	https://doi.org/10.31234/osf.io/mj2ug
Publication status	Published - Aug 2019

Keywords

MODERATED MEDIATION
R
SEM
lavaan

Access to Document

10.31234/osf.io/mj2ugLicence: CC BY

Cite this

@techreport{3d2815bbd188415aa521af762b32ae5e,

title = "Tutorial of moderated mediation with SEM: the gemm function",

abstract = "Moderated mediation analysis assumes that the effect of a predictor on a dependent variableis mediated by one or more mediators and that the indirect paths in this mediation aremoderated. Moderation can take place on the effect of the predictor on the mediators, or onthe effect of the mediators on the dependent variable.In this tutorial we will show how the R function “gemm” from the “rosetta” packagecan be used to do a moderated mediation analysis.",

keywords = "MODERATED MEDIATION, R, SEM, lavaan",

author = "P. Verboon and G.J. Peters",

year = "2019",

month = aug,

doi = "10.31234/osf.io/mj2ug",

language = "English",

publisher = "PsyArXiv",

address = "United States",

type = "WorkingPaper",

institution = "PsyArXiv",

}

TY - UNPB

T1 - Tutorial of moderated mediation with SEM

T2 - the gemm function

AU - Verboon, P.

AU - Peters, G.J.

PY - 2019/8

Y1 - 2019/8

N2 - Moderated mediation analysis assumes that the effect of a predictor on a dependent variableis mediated by one or more mediators and that the indirect paths in this mediation aremoderated. Moderation can take place on the effect of the predictor on the mediators, or onthe effect of the mediators on the dependent variable.In this tutorial we will show how the R function “gemm” from the “rosetta” packagecan be used to do a moderated mediation analysis.

AB - Moderated mediation analysis assumes that the effect of a predictor on a dependent variableis mediated by one or more mediators and that the indirect paths in this mediation aremoderated. Moderation can take place on the effect of the predictor on the mediators, or onthe effect of the mediators on the dependent variable.In this tutorial we will show how the R function “gemm” from the “rosetta” packagecan be used to do a moderated mediation analysis.

KW - MODERATED MEDIATION

KW - R

KW - SEM

KW - lavaan

U2 - 10.31234/osf.io/mj2ug

DO - 10.31234/osf.io/mj2ug

M3 - Preprint

BT - Tutorial of moderated mediation with SEM

PB - PsyArXiv

ER -

Tutorial of moderated mediation with SEM: the gemm function

Abstract

Keywords

Access to Document

Fingerprint

Cite this