THIS IS ONE OF THE MOST IMPORTANT BOOK ON MULTIVARIATE ANALYSIS.


This volumeintroduces the statistical, methodological, and conceptual aspects of mediationanalysis. Applications from
health, social, and developmental psychology,sociology, communication,
exercise
science,and epidemiology are emphasized throughout. Single-mediator, multilevel, andlongitudinal models are reviewed. The
author's
goalis to help the reader apply mediation analysis to their own data and understandits limitations.

Each chapter featuresan overview, numerous worked examples, a summary, and exercises (with answersto the odd numbered questions). The accompanying CD contains outputs describedin the
book
from SAS, SPSS, LISREL, EQS, MPLUS,and CALIS, and a program to simulate the model. The notation used is consistentwith existing literature on mediation in psychology.
Thebook opens with a review of the types of research questions the mediation modeladdresses. Part II describes the estimation of mediation effects includingassumptions, statistical tests, and the construction of confidence limits.Advanced models including mediation in path analysis, longitudinal models,multilevel data, categorical variables, and mediation in the context ofmoderation are then described. The book closes with a discussion of the limitsof mediation analysis, additional approaches to identifying mediatingvariables, and future directions.
Introduction toStatistical Mediation Analysis is intended for researchers and advancedstudents in health, social, clinical, and developmental
psychology
as well as communication, publichealth, nursing, epidemiology, and sociology. Some exposure to a graduate levelresearch methods or statistics course is assumed. The overview of mediationanalysis and the guidelines for conducting a mediation analysis will beappreciated by all readers.