Introduction To Statistical Mediation Analysis (multivariate Applications Series)
by David P. MacKinnon /
2008 / English / PDF
3.5 MB Download
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.
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.
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.
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 mediation analysis and the guidelines for
conducting a mediation analysis will be appreciated by all
readers.
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 mediation analysis and the guidelines for
conducting a mediation analysis will be appreciated by all
readers.