Introduction to Statistical Mediation Analysis

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Author :
Publisher : Routledge
ISBN 13 : 1136676139
Total Pages : 488 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Introduction to Statistical Mediation Analysis by : David MacKinnon

Download or read book Introduction to Statistical Mediation Analysis written by David MacKinnon and published by Routledge. This book was released on 2012-10-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :
Publisher : Guilford Publications
ISBN 13 : 146253466X
Total Pages : 714 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition by : Andrew F. Hayes

Download or read book Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition written by Andrew F. Hayes and published by Guilford Publications. This book was released on 2017-10-30 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :
Publisher : SAGE
ISBN 13 : 141292569X
Total Pages : 105 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Mediation Analysis by : Dawn Iacobucci

Download or read book Mediation Analysis written by Dawn Iacobucci and published by SAGE. This book was released on 2008-04 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores even the fundamental assumptions underlying mediation analysis

Regression and Mediation Analysis Using Mplus

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Publisher :
ISBN 13 : 9780982998311
Total Pages : 535 pages
Book Rating : 4.9/5 (983 download)

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Book Synopsis Regression and Mediation Analysis Using Mplus by : Bengt O. Muthen

Download or read book Regression and Mediation Analysis Using Mplus written by Bengt O. Muthen and published by . This book was released on 2016-07-06 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Explanation in Causal Inference

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Author :
Publisher : Oxford University Press, USA
ISBN 13 : 0199325871
Total Pages : 729 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis Explanation in Causal Inference by : Tyler J. VanderWeele

Download or read book Explanation in Causal Inference written by Tyler J. VanderWeele and published by Oxford University Press, USA. This book was released on 2015 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Doing Statistical Mediation and Moderation

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Author :
Publisher : Guilford Press
ISBN 13 : 1462508235
Total Pages : 336 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Doing Statistical Mediation and Moderation by : Paul E. Jose

Download or read book Doing Statistical Mediation and Moderation written by Paul E. Jose and published by Guilford Press. This book was released on 2013-02-25 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS

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Author :
Publisher : CRC Press
ISBN 13 : 1000549488
Total Pages : 244 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS by : Qingzhao Yu

Download or read book Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS written by Qingzhao Yu and published by CRC Press. This book was released on 2022-03-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

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Author :
Publisher : Springer Nature
ISBN 13 : 3030805190
Total Pages : 208 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R by : Joseph F. Hair Jr.

Download or read book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R written by Joseph F. Hair Jr. and published by Springer Nature. This book was released on 2021-11-03 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

Targeted Learning

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1441997822
Total Pages : 628 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Targeted Learning by : Mark J. van der Laan

Download or read book Targeted Learning written by Mark J. van der Laan and published by Springer Science & Business Media. This book was released on 2011-06-17 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at both statisticians and applied researchers interested in causal inference and general effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihood estimator, including related concepts necessary to understand and apply these methods. Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies.

How Mediation Works

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1107024277
Total Pages : 287 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis How Mediation Works by : Angela Cora Garcia

Download or read book How Mediation Works written by Angela Cora Garcia and published by Cambridge University Press. This book was released on 2019-08-15 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: An original study of the language of mediation, which uses excerpts from real mediation sessions to illustrate how mediation works and how mediators can best help disputants make claims, present evidence and propose solutions. It will interest researchers and students of sociolinguistics, conversation analysis, and the sociology of law.

Advances in Social Science Research Using R

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1441917640
Total Pages : 219 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Advances in Social Science Research Using R by : Hrishikesh D. Vinod

Download or read book Advances in Social Science Research Using R written by Hrishikesh D. Vinod and published by Springer Science & Business Media. This book was released on 2009-12-24 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.

Partial Least Squares Structural Equation Modeling

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Author :
Publisher : Springer
ISBN 13 : 3319716913
Total Pages : 239 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Partial Least Squares Structural Equation Modeling by : Necmi K. Avkiran

Download or read book Partial Least Squares Structural Equation Modeling written by Necmi K. Avkiran and published by Springer. This book was released on 2018-02-16 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

Partial Least Squares Path Modeling

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Publisher : Springer
ISBN 13 : 3319640690
Total Pages : 414 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Partial Least Squares Path Modeling by : Hengky Latan

Download or read book Partial Least Squares Path Modeling written by Hengky Latan and published by Springer. This book was released on 2017-11-03 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview of the current state of the most advanced research related to PLS-PM. The first section of this book emphasizes the basic concepts and extensions of the PLS-PM method. The second section discusses the methodological issues that are the focus of the recent development of the PLS-PM method. The third part discusses the real world application of the PLS-PM method in various disciplines. The contributions from expert authors in the field of PLS focus on topics such as the factor-based PLS-PM, the perfect match between a model and a mode, quantile composite-based path modeling (QC-PM), ordinal consistent partial least squares (OrdPLSc), non-symmetrical composite-based path modeling (NSCPM), modern view for mediation analysis in PLS-PM, a multi-method approach for identifying and treating unobserved heterogeneity, multigroup analysis (PLS-MGA), the assessment of the common method bias, non-metric PLS with categorical indicators, evaluation of the efficiency and accuracy of model misspecification and bootstrap parameter recovery in PLS-PM, CB-SEM, and the Bollen-Stine methods and importance-performance map analysis (IPMA) for nonlinear relationships. This book will be useful for researchers and practitioners interested in the latest advances in PLS-PM as well as master and Ph.D. students in a variety of disciplines using the PLS-PM method for their projects.

Introduction to Statistical Mediation Analysis

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Author :
Publisher : Routledge
ISBN 13 : 1136676147
Total Pages : 488 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Introduction to Statistical Mediation Analysis by : David MacKinnon

Download or read book Introduction to Statistical Mediation Analysis written by David MacKinnon and published by Routledge. This book was released on 2012-10-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Doing Meta-Analysis with R

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Author :
Publisher : CRC Press
ISBN 13 : 1000435636
Total Pages : 500 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Doing Meta-Analysis with R by : Mathias Harrer

Download or read book Doing Meta-Analysis with R written by Mathias Harrer and published by CRC Press. This book was released on 2021-09-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

EU Mediation Law Handbook

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Author :
Publisher : Kluwer Law International B.V.
ISBN 13 : 9041158677
Total Pages : 842 pages
Book Rating : 4.0/5 (411 download)

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Book Synopsis EU Mediation Law Handbook by : Nadja Alexander

Download or read book EU Mediation Law Handbook written by Nadja Alexander and published by Kluwer Law International B.V.. This book was released on 2017-03-15 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mediation is rapidly becoming a norm in cross-border dispute resolution among European Union (EU) Member States. Accordingly, an important question for legal advisers to ask themselves is: Which jurisdiction offers the best legal framework to support a potential future mediation of my client’s dispute? This book responds to this question by examining the law on mediation in each Member State on a chapter-by-chapter basis. Each country analysis applies the book’s overarching principle of a specially designed Regulatory Robustness Rating System, which is thoroughly explained in an introductory chapter. This framework offers a highly effective way to analyse the quality and robustness of each of the EU’s twenty-nine national jurisdictions’ legal frameworks relevant to mediation (including legislation, case law, practice directions, codes of conduct, standards, and other regulatory instruments) and factor such an analysis into choices about governing law in mediation clauses and other agreements. Among the issues and topics covered are the following: • congruence of domestic and international legal frameworks; • transparency and clarity of content of mediation laws; • standards and qualifications for mediators; • rights and obligations of participants in mediation; • access to mediation services; • access to internationally recognised and skilled mediators; • enforceability of clauses and mediated settlement agreements; • confidentiality and flexibility; • admissibility of evidence from mediation in subsequent proceedings; • impact of commencement of mediation on litigation limitation periods; • relationship and attitude of courts to mediation; and • regulatory incentives for legal advisers to engage in mediation. This detailed analysis clearly allows users and other regulatory stakeholders to look closely and critically at regulatory regimes for mediation in order to make informed choices and develop appropriate strategies in relation to the law that governs their mediation. This is the first book to consider authoritatively what makes good mediation law and what makes a jurisdiction attractive for cross-border mediation purposes in terms of its regulatory framework. As a resource that identifies potential strengths and weaknesses of each EU Member State’s regulatory regime, it has no peers and will be welcomed and put to use by the alternative dispute resolution community in Europe and beyond.

The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research

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Author :
Publisher : SAGE
ISBN 13 : 1412927900
Total Pages : 401 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research by : Andrew F. Hayes

Download or read book The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research written by Andrew F. Hayes and published by SAGE. This book was released on 2008 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic—such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis—will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.