This volume introduces the statistical, methodological, and
conceptual aspects of mediation analysis. Applications from health,
social, and developmental psychology, sociology, communication,
exercise science, and epidemiology are emphasized throughout.
Single-mediator, multilevel, and longitudinal models are reviewed.
The author's goal is to help the reader apply mediation analysis to
their own data and understand its limitations.
Each chapter features an overview, numerous worked examples, a
summary, and exercises (with answers to the odd numbered
questions). The accompanying CD contains outputs described in the
book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program
to simulate the model. The notation used is consistent with
existing literature on mediation in psychology.
The book opens with a review of the types of research questions
the mediation model addresses. Part II describes the estimation of
mediation effects including assumptions, 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 of moderation
are then described. The book closes with a discussion of the limits
of mediation analysis, additional approaches to identifying
mediating variables, and future directions.
Introduction to Statistical Mediation Analysis is intended for
researchers and advanced students in health, social, clinical, and
developmental psychology as well as communication, public health,
nursing, epidemiology, and sociology. Some exposure to a graduate
level research methods or statistics course is assumed. The
overview of mediationanalysis and the guidelines for conducting a
mediation analysis will be appreciated by all readers.
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