Introduction to statistical mediation analysis
著者
書誌事項
Introduction to statistical mediation analysis
（Multivariate applications book series）
Routledge, 2017, c2008
- : soft
- タイトル別名
-
Statistical mediation analysis
並立書誌 全1件
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"Published 2017 by Routledge"--T.p. verso
Includes bibliographical references and indexes
内容説明・目次
内容説明
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 downloadable resources contain 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 mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.
目次
Preface. Introduction. Applications of the Mediation Model. Single Mediator Model. Single Mediator Model Details. Multiple Mediator Model. Path Analysis Mediation Models. Latent Variable Mediation Models. Longitudinal Mediation Models. Multilevel Mediation Models. Mediation and Moderation. Mediation in Categorical Data Analysis. Computer Intensive Methods for Mediation Models. Causal Inference for Mediation Models. Additional Approaches to Identifying Mediating Variables. Conclusions and Future Directions. Appendices: Answers to Odd-Numbered Exercises. Notation.
「Nielsen BookData」 より