Mediation Analysis
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Introduction To Statistical Mediation Analysis
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Author : David MacKinnon
language : en
Publisher: Routledge
Release Date : 2012-10-02
Introduction To Statistical Mediation Analysis written by David MacKinnon and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-02 with Medical categories.
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 mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.
Introduction To Statistical Mediation Analysis
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Author : David MacKinnon
language : en
Publisher: Routledge
Release Date : 2012-10-02
Introduction To Statistical Mediation Analysis written by David MacKinnon and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-02 with Medical categories.
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 mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.
Introduction To Mediation Moderation And Conditional Process Analysis Second Edition
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Author : Andrew F. Hayes
language : en
Publisher: Guilford Publications
Release Date : 2017-10-30
Introduction To Mediation Moderation And Conditional Process Analysis Second Edition written by Andrew F. Hayes and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-30 with Social Science categories.
This book has been replaced by Introduction to Mediation, Moderation, and Conditional Process Analysis, Third Edition, ISBN 978-1-4625-4903-0.
Mediation Analysis
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Author : Dawn Iacobucci
language : en
Publisher: SAGE
Release Date : 2008-04
Mediation Analysis written by Dawn Iacobucci and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04 with Mathematics categories.
Explores even the fundamental assumptions underlying mediation analysis
Introduction To Mediation Moderation And Conditional Process Analysis
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Author : Andrew F. Hayes
language : en
Publisher: Guilford Press
Release Date : 2013-04-22
Introduction To Mediation Moderation And Conditional Process Analysis written by Andrew F. Hayes and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-22 with Psychology categories.
Explaining the fundamentals of mediation and moderation analysis, this engaging book also shows how to integrate the two using an innovative strategy known as conditional process analysis. Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms. Relying on the principles of ordinary least squares regression, Andrew Hayes carefully explains the estimation and interpretation of direct and indirect effects, probing and visualization of interactions, and testing of questions about moderated mediation. Examples using data from published studies illustrate how to conduct and report the analyses described in the book. Of special value, the book introduces and documents PROCESS, a macro for SPSS and SAS that does all the computations described in the book. The companion website (www.afhayes.com) offers free downloads of PROCESS plus data files for the book's examples. Unique features include: *Compelling examples (presumed media influence, sex discrimination in the workplace, and more) with real data; boxes with SAS, SPSS, and PROCESS code; and loads of tips, including how to report mediation, moderation and conditional process analyses. *Appendix that presents documentation on use and features of PROCESS. *Online supplement providing data, code, and syntax for the book's examples.
Statistical Methods For Mediation Confounding And Moderation Analysis Using R And Sas
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Author : Qingzhao Yu
language : en
Publisher: CRC Press
Release Date : 2022-03-14
Statistical Methods For Mediation Confounding And Moderation Analysis Using R And Sas written by Qingzhao Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-14 with Mathematics categories.
Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers. Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis. Key Features: Parametric and nonparametric method in third variable analysis Multivariate and Multiple third-variable effect analysis Multilevel mediation/confounding analysis Third-variable effect analysis with high-dimensional data Moderation/Interaction effect analysis within the third-variable analysis R packages and SAS macros to implement methods proposed in the book
Mediation Analysis
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Author : Dawn Iacobucci
language : en
Publisher:
Release Date : 2008
Mediation Analysis written by Dawn Iacobucci and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Electronic books categories.
This text explores even the fundamental assumptions underlying mediation analysis and describes options for analyzing mediation data as well as providing syntax for a widely available and popular computer program so users can begin implementing mediation ideas immediately on their data.
Doing Statistical Mediation And Moderation
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Author : Paul E. Jose
language : en
Publisher: Guilford Press
Release Date : 2013-02-25
Doing Statistical Mediation And Moderation written by Paul E. Jose and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-25 with Psychology categories.
Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; "Helpful Suggestions" about procedures and pitfalls; "Knowledge Boxes" delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website (www.guilford.com/jose-materials) provides downloadable data and syntax files for the book's examples and exercises, as well as links to Jose's online programs, MedGraph and ModGraph. Appendices present SPSS, Amos, and Mplus syntax for conducting the key types of analyses.
Regression And Mediation Analysis Using Mplus
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Author : Bengt O. Muthen
language : en
Publisher:
Release Date : 2016-07-06
Regression And Mediation Analysis Using Mplus written by Bengt O. Muthen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-06 with categories.
Explanation In Causal Inference
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Author : Tyler J. VanderWeele
language : en
Publisher: Oxford University Press, USA
Release Date : 2015
Explanation In Causal Inference written by Tyler J. VanderWeele and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Medical categories.
The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for multiple mediators, methods for time-varying mediation and longitudinal data, and relations between mediation and other concepts involving intermediates such as surrogates, principal stratification, instrumental variables, and Mendelian randomization. The second part of the book concerns interaction or "moderation," including concepts for interaction, statistical interaction, confounding and interaction, mechanistic interaction, bias analysis for interaction, interaction in genetic studies, and power and sample-size calculation for interaction. The final part of the book provides comprehensive discussion about the relationships between mediation and interaction and unites these concepts within a single framework.