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 | |
| State | Published - Oct 2012 |
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Keywords
- Categorial data analysis
- Indirect effects
- Mediation
ASJC Scopus subject areas
- Applied Psychology
- Marketing
Cite this
Commentary on "Mediation analysis and categorical variables : The final frontier" by Dawn Iacobucci. / Mackinnon, David; Cox, Matthew G.
In: Journal of Consumer Psychology, Vol. 22, No. 4, 10.2012, p. 600-602.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Commentary on "Mediation analysis and categorical variables
T2 - The final frontier" by Dawn Iacobucci
AU - Mackinnon, David
AU - Cox, Matthew G.
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
UR - http://www.scopus.com/inward/record.url?scp=84866339860&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866339860&partnerID=8YFLogxK
U2 - 10.1016/j.jcps.2012.03.009
DO - 10.1016/j.jcps.2012.03.009
M3 - Article
VL - 22
SP - 600
EP - 602
JO - Journal of Consumer Psychology
JF - Journal of Consumer Psychology
SN - 1057-7408
IS - 4
ER -