Mediating variables continue to play an important role in psychological theory and research. A mediating variable transmits the effect of an antecedent variable on to a dependent variable, thereby providing more detailed understanding of relations among variables. Methods to assess mediation have been an active area of research for the last two decades. This paper describes the current state of methods to investigate mediating variables.
HollandP.W. (1988). Causal inference, path analysis, and recursive structural equation models. Sociological Methodology, 18, 449–484. A complex but thorough examination of causal inference for the mediation model.
2.
JuddC.M.KennyD.A. (1981). (See References). A classic paper on mediation that includes original ideas on many topics such as longitudinal mediation and moderated mediation that have been refined since its publication.
3.
MacKinnonD.P. (2008). (See References). A general introduction to the current state of mediation analysis.
4.
MacKinnonD.P.FairchildA.J.FritzM.S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593–614. A review of mediation analysis in psychology.
5.
SobelM.E. (1986). Some new results on indirect effects and their standard errors in covariance structure models. Sociological Methodology, 13, 290–312. Describes a general approach to finding the standard errors of indirect effects in simple and complex models that is now used in major covariance-structure-analysis software.
6.
BaronR.M.KennyD.A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.
7.
BauerD.J.PreacherK.J.GilK.M. (2006). Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: New procedures and recommendations. Psychological Methods, 11, 142–163.
8.
ColeD.A.MaxwellS.E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112, 558–577.
9.
EdwardsJ.R.LambertL.S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 1–22.
10.
FrangakisC.E.RubinD.B. (2002). Principal stratification in causal inference. Biometrics, 58, 21–29.
11.
FritzM.S.MacKinnonD.P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18, 233–239.
12.
JuddC.M.KennyD.A. (1981). Process analysis: Estimating mediation in treatment evaluations. Evaluation Review, 602–619.
13.
MacKinnonD.P. (2008). Introduction to statistical mediation analysis. Mahwah, NJ: Erlbaum.
14.
MacKinnonD.P.DwyerJ.H. (1993). Estimation of mediated effects in prevention studies. Evaluation Review, 17, 144–158.
15.
MacKinnonD.P.FritzM.S.WilliamsJ.LockwoodC.M. (2007). Distribution of the product confidence limits for the indirect effect: Program PRODCLIN. Behavior Research Methods, 39, 384–389. (The program can be downloaded fromhttp://www.public.asu.edu/~davidpm/ripl/Prodclin/)
16.
MacKinnonD.P.LockwoodC.M.BrownH.WangW.HoffmanJ. (2007). The intermediate endpoint effect in logistic and probit regression. Clinical Trials, 4, 499–513.
17.
MacKinnonD.P.LockwoodC.M.HoffmanJ.M.WestS.G.SheetsV. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83–104.
18.
ShroutP.E.BolgerN. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7, 422–445.
19.
SpencerS.J.ZannaM.P.FongG.T. (2005). Establishing a causal chain: Why experiments are often more effective than mediational analyses in examining psychological processes. Journal of Personality and Social Psychology, 89, 845–851.
20.
TaylorA.B.MacKinnonD.P.TeinJ.Y. (2008). Tests of the three-path mediated effect. Organizational Research Methods, 11, 241–269.
