Commentary on "Mediation analysis and categorical variables: The final frontier" by Dawn Iacobucci

David Mackinnon; Matthew G. Cox

doi:10.1016/j.jcps.2012.03.009

Commentary on "Mediation analysis and categorical variables: The final frontier" by Dawn Iacobucci

David Mackinnon, Matthew G. Cox

CLAS-NS: Psychology

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

The commentary discusses several topics in Dr. Iacobucci's article on mediation analysis with categorical variables including the lack of equivalency of mediated effect measures, ab, and c- c', that are algebraically equivalent in ordinary least squares regression models. The commentary raises the issue of correlated mediation coefficients and presents formulas to include the correlation in the test of significance. References to new developments in causal mediation analysis for categorical variables are given and the importance of programs of research to establish a mediation theory is emphasized.

Original language	English (US)
Pages (from-to)	600-602
Number of pages	3
Journal	Journal of Consumer Psychology
Volume	22
Issue number	4
DOIs	https://doi.org/10.1016/j.jcps.2012.03.009
State	Published - Oct 2012

Keywords

Categorial data analysis
Indirect effects
Mediation

ASJC Scopus subject areas

Applied Psychology
Marketing

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10.1016/j.jcps.2012.03.009

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title = "Commentary on {"}Mediation analysis and categorical variables: The final frontier{"} by Dawn Iacobucci",

abstract = "The commentary discusses several topics in Dr. Iacobucci's article on mediation analysis with categorical variables including the lack of equivalency of mediated effect measures, ab, and c- c', that are algebraically equivalent in ordinary least squares regression models. The commentary raises the issue of correlated mediation coefficients and presents formulas to include the correlation in the test of significance. References to new developments in causal mediation analysis for categorical variables are given and the importance of programs of research to establish a mediation theory is emphasized.",

keywords = "Categorial data analysis, Indirect effects, Mediation",

author = "David Mackinnon and Cox, {Matthew G.}",

note = "Funding Information: We thank Professor Dawn Iacobucci for the invitation to comment on her paper. This work was supported in part by National Institute on Drug Abuse Grant DA09757 . ",

year = "2012",

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doi = "10.1016/j.jcps.2012.03.009",

language = "English (US)",

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AU - Cox, Matthew G.

N1 - Funding Information: We thank Professor Dawn Iacobucci for the invitation to comment on her paper. This work was supported in part by National Institute on Drug Abuse Grant DA09757 .

PY - 2012/10

Y1 - 2012/10

N2 - The commentary discusses several topics in Dr. Iacobucci's article on mediation analysis with categorical variables including the lack of equivalency of mediated effect measures, ab, and c- c', that are algebraically equivalent in ordinary least squares regression models. The commentary raises the issue of correlated mediation coefficients and presents formulas to include the correlation in the test of significance. References to new developments in causal mediation analysis for categorical variables are given and the importance of programs of research to establish a mediation theory is emphasized.

AB - The commentary discusses several topics in Dr. Iacobucci's article on mediation analysis with categorical variables including the lack of equivalency of mediated effect measures, ab, and c- c', that are algebraically equivalent in ordinary least squares regression models. The commentary raises the issue of correlated mediation coefficients and presents formulas to include the correlation in the test of significance. References to new developments in causal mediation analysis for categorical variables are given and the importance of programs of research to establish a mediation theory is emphasized.

KW - Categorial data analysis

KW - Indirect effects

KW - Mediation

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Commentary on "Mediation analysis and categorical variables: The final frontier" by Dawn Iacobucci

Abstract

Keywords

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