N. Rascle et S. Irachabal, Mediators and moderators: Theoretical and methodological implications in stress and health psychology research, TRAV HUMAIN, 64(2), 2001, pp. 97-118
The concepts of mediators and moderators are often confused in psychologica
l research. Most empirical studies use these two terms interchangeably and
analyse their effects using the same statistical approaches. Nevertheless,
it is very important to distinguish between their properties as it permits
the conceptualization of complex theoretical models and different levels of
analysis. In the domain of stress research, the dis tinction between these
two types of variable is also essential because it underscores the histori
cal evolution of different models. The earliest behavioural models of stres
s (stimulus-response) were simple interactional models, where by negative c
onsequences of stress could be explained jointly by environmental and perso
nal variables, and above all by their incompatibility. in this context, mod
erators play an important role. Numerous personal variables (personality tr
aits) and environmental variables (social support) serve as of buffers betw
een stressors (work, life events) and outcomes (well-being, illness). Altho
ugh these interactional models are important for emphasizing individual vul
nerability to stress, they do nor explain the underlying psychological proc
esses at work. For this reason, the evolution of models requires the identi
fication of psychological and/or biological mediators that explain how pred
ictive variables (environment and personality) have an impact on individual
health. The transactional model of stress is an example of such neo-behavi
oural models. The identification of distinct models and variables with spec
ific properties also requires the selection of appropriate statistical anal
yses. Testing the effects of moderators doer nor use the same Kind of analy
sis as for testing the effects of mediators. ANOVA and hierarchical regress
ion analyses are the most appropriate methods for testing moderator effects
, while path analyses with Lisrel allow for the examination of mediator eff
ects of a given variable relative to two other variables. Finally, the clar
ification of these different issues has value beyond the domain of stress t
heory.