Introduction to Statistical Mediation Analysis Book PDF

Introduction to Statistical Mediation Analysis

  • Author : David MacKinnon
  • Publisher : Routledge
  • Release Date : 2012-10-02
  • Genre : Medical
  • Pages : 488
  • ISBN : 9781136676147

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Introduction to Statistical Mediation Analysis Book Description :

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 Book PDF

Introduction to Statistical Mediation Analysis

  • Author : David MacKinnon
  • Publisher : Routledge
  • Release Date : 2012-10-02
  • Genre : Medical
  • Pages : 488
  • ISBN : 9781136676130

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Introduction to Statistical Mediation Analysis Book Description :

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.

The Oxford Handbook of Quantitative Methods in Psychology Book PDF

The Oxford Handbook of Quantitative Methods in Psychology

  • Author : Todd D. Little
  • Publisher : Oxford University Press, USA
  • Release Date : 2014
  • Genre : Psychology
  • Pages : 515
  • ISBN : 9780199370153

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The Oxford Handbook of Quantitative Methods in Psychology Book Description :

This two-volume handbook on current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences covers philosophical and ethical issues, theory construction, model building and types of models, survey and experiment design, measurement issues, observational methods, statistical methods, types of analysis, types of data, and common research fallacies.

Structural Equation Modelling with Partial Least Squares Using Stata and R Book PDF

Structural Equation Modelling with Partial Least Squares Using Stata and R

  • Author : Mehmet Mehmetoglu
  • Publisher : CRC Press
  • Release Date : 2020-12-22
  • Genre : Mathematics
  • Pages : 400
  • ISBN : 9780429528859

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Structural Equation Modelling with Partial Least Squares Using Stata and R Book Description :

Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages. This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications. What makes the book unique is the fact that it thoroughly explains and extensively uses comprehensive Stata (plssem) and R (cSEM and plspm) packages for carrying out PLS-SEM analysis. The book aims to help the reader understand the mechanics behind PLS-SEM as well as performing it for publication purposes. Features: Intuitive and technical explanations of PLS-SEM methods Complete explanations of Stata and R packages Lots of example applications of the methodology Detailed interpretation of software output Reporting of a PLS-SEM study Github repository for supplementary book material The book is primarily aimed at researchers and graduate students from statistics, social science, psychology, and other disciplines. Technical details have been moved from the main body of the text into appendices, but it would be useful if the reader has a solid background in linear regression analysis.

Handbook of Research Methods in Consumer Psychology Book PDF

Handbook of Research Methods in Consumer Psychology

  • Author : Frank R. Kardes
  • Publisher : Routledge
  • Release Date : 2019-04-15
  • Genre : Psychology
  • Pages : 528
  • ISBN : 9781351137706

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Handbook of Research Methods in Consumer Psychology Book Description :

What impact can various research methods have on consumer psychology? How can they help us understand the workings of the consumer mind? And how can the field of consumer psychology best utilize these methods? In the Handbook of Research Methods in Consumer Psychology, leading consumer psychologists summarize key aspects of the research process and explain how different methods enrich understanding of how consumers process information to form judgments and opinions and to make consumption-related decisions. Kardes, Herr, and Schwarz provide an in-depth analysis of the scientific research methods needed to understand consumption-related judgments and decisions. The book is split into five parts, demonstrating the breadth of the volume: classic approaches, contemporary approaches, online research methods, data analysis, and philosophy of science. A variety of leading researchers give insight into a wide range of topics, reflecting both long-standing debate and more recent developments in the field to encourage discussion and the advancement of consumer research. The Handbook of Research Methods in Consumer Psychology is essential reading for researchers, students, and professionals interested in consumer psychology and behavior.

Applied Multivariate Research Book PDF

Applied Multivariate Research

  • Author : Lawrence S. Meyers
  • Publisher : SAGE Publications
  • Release Date : 2016-10-28
  • Genre : Social Science
  • Pages : 1016
  • ISBN : 9781506329789

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Applied Multivariate Research Book Description :

Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

Causality in a Social World Book PDF

Causality in a Social World

  • Author : Guanglei Hong
  • Publisher : John Wiley & Sons
  • Release Date : 2015-08-17
  • Genre : Mathematics
  • Pages : 425
  • ISBN : 9781118332566

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Causality in a Social World Book Description :

Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.

The Oxford Handbook of Quantitative Methods in Psychology  Vol  2 Book PDF

The Oxford Handbook of Quantitative Methods in Psychology Vol 2

  • Author : Todd D. Little
  • Publisher : Oxford University Press
  • Release Date : 2013-03-21
  • Genre : Medical
  • Pages : 736
  • ISBN : 9780199934898

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The Oxford Handbook of Quantitative Methods in Psychology Vol 2 Book Description :

The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.

The Reviewer   s Guide to Quantitative Methods in the Social Sciences Book PDF

The Reviewer s Guide to Quantitative Methods in the Social Sciences

  • Author : Gregory R. Hancock
  • Publisher : Routledge
  • Release Date : 2018-11-15
  • Genre : Education
  • Pages : 502
  • ISBN : 9781317627791

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The Reviewer s Guide to Quantitative Methods in the Social Sciences Book Description :

The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.

Handbook for Clinical Research Book PDF

Handbook for Clinical Research

  • Author : Ralph Buschbacher, MD
  • Publisher : Demos Medical Publishing
  • Release Date : 2014-08-26
  • Genre : Medical
  • Pages : 290
  • ISBN : 9781617050992

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Handbook for Clinical Research Book Description :

With over 80 information-packed chapters, Handbook for Clinical Research delivers the practical insights and expert tips necessary for successful research design, analysis, and implementation. Using clear language and an accessible bullet point format, the authors present the knowledge and expertise developed over time and traditionally shared from mentor to mentee and colleague to colleague. Organized for quick access to key topics and replete with practical examples, the book describes a variety of research designs and statistical methods and explains how to choose the best design for a particular project. Research implementation, including regulatory issues and grant writing, is also covered. The book opens with a section on the basics of research design, discussing the many ways in which studies can be organized, executed, and evaluated. The second section is devoted to statistics and explains how to choose the correct statistical approach and reviews the varieties of data types, descriptive and inferential statistics, methods for demonstrating associations, hypothesis testing and prediction, specialized methods, and considerations in epidemiological studies and measure construction. The third section covers implementation, including how to develop a grant application step by step, the project budget, and the nuts and bolts of the timely and successful completion of a research project and documentation of findings: procedural manuals and case report forms; collecting, managing and securing data; operational structure and ongoing monitoring and evaluation; and ethical and regulatory concerns in research with human subjects. With a concise presentation of the essentials for successful research, the Handbook for Clinical Research is a valuable addition to the library of any student, research professional, or clinician interested in expanding the knowledge base of his or her field. Key Features: Delivers the essential elements, practical insights, and trade secrets

Advanced Methods for Modeling Markets Book PDF

Advanced Methods for Modeling Markets

  • Author : Peter S. H. Leeflang
  • Publisher : Springer
  • Release Date : 2017-08-29
  • Genre : Business & Economics
  • Pages : 733
  • ISBN : 9783319534695

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Advanced Methods for Modeling Markets Book Description :

This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today’s environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: · an introduction to the method/methodology · a numerical example/application in marketing · references to other marketing applications · suggestions about software. Featuring contributions from top authors in the field, this volume will

Introduction to Mediation  Moderation  and Conditional Process Analysis  Second Edition Book PDF

Introduction to Mediation Moderation and Conditional Process Analysis Second Edition

  • Author : Andrew F. Hayes
  • Publisher : Guilford Publications
  • Release Date : 2017-12-13
  • Genre : Social Science
  • Pages : 692
  • ISBN : 9781462534654

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Introduction to Mediation Moderation and Conditional Process Analysis Second Edition Book Description :

Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), along with links to download PROCESS. New to This Edition *Chapters on using each type of analysis with multicategorical antecedent variables. *Example analyses using PROCESS v3, with annotated outputs throughout the book. *More tips and advice, including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderat∨ using R code for visualizing interactions; distinguishing between testing interaction and probing it; and more. *Rewritten Appendix A, which provides the only documentation of PROCESS v3, including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation. *Appendix B, describing how to create customized models in PROCESS v3 or edit preprogrammed models.

What If There Were No Significance Tests  Book PDF

What If There Were No Significance Tests

  • Author : Lisa L. Harlow
  • Publisher : Routledge
  • Release Date : 2016-03-02
  • Genre : Psychology
  • Pages : 396
  • ISBN : 9781317242857

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What If There Were No Significance Tests Book Description :

The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.

The Essence of Multivariate Thinking Book PDF

The Essence of Multivariate Thinking

  • Author : Lisa L. Harlow
  • Publisher : Routledge
  • Release Date : 2014-02-18
  • Genre : Education
  • Pages : 432
  • ISBN : 9781317859796

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The Essence of Multivariate Thinking Book Description :

By focusing on underlying themes, this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods, when they are used and the questions they address, the key assumptions and equations, and how to interpret the results. The concepts take center stage while formulas are kept to a minimum. Examples using the same data set give readers continuity so they can more easily apply the concepts. Each method is also accompanied by a worked out example, SPSS and SAS input, and an example of how to write up the results. EQS code is used for the book’s SEM applications. This extensively revised edition features: New SEM chapters including an introduction (ch.10), path analysis (ch.11), confirmatory factor analysis (ch.12), and latent variable modeling (ch.13) the last three with an EQS application. A new chapter on multilevel modeling (ch. 8) that is now used more frequently in the social sciences. More emphasis on significance tests, effect sizes, and confidence intervals to encourage readers to adopt a thorough approach to assessing the magnitude of their findings. A new data set that explores the work environment. More discussion about the basic assumptions and equations for each method for a more accessible approach. New examples that help clarify the distinctions between methods. A new website at https://sites.google.com/site/multivariatesecondedition/ that features the datasets for all of the examples in the book for use in both SPSS and SAS and in EQS for the SEM chapters. The first two chapters review the core themes that run through most multivariate methods. The author shows how understanding multivariate methods is much more achievable when we notice the themes that underlie these statistical techniques. This multiple level approach also provides greater reliability and validity in our research. After providing insight into the core themes, the author i

Inflammation  Infection  and Microbiome in Cancers Book PDF

Inflammation Infection and Microbiome in Cancers

  • Author : Jun Sun
  • Publisher : Springer Nature
  • Release Date : 2021-04-20
  • Genre : Medical
  • Pages : 509
  • ISBN : 9783030679514

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Inflammation Infection and Microbiome in Cancers Book Description :

This book offers a summary and discussion of the advances of inflammation and infection in various cancers. The authors cover the classically known virus infections in cancer, novel roles of other pathogens (e.g. bacteria and fungi), as well as biomarkers for diagnosis and therapy. Further, the chapters highlight the progress of immune therapy, stem cells and the role of the microbiome in the pathophysiology of cancers. Readers will gain insights into complex microbial communities, that inhabit most external human surfaces and play a key role in health and disease. Perturbations of host-microbe interactions often lead to altered host responses that can promote cancer development. Thus, this book highlights emerging roles of the microbiome in pathogenesis of cancers and outcome of therapy. The focus is on mechanistic concepts that underlie the complex relationships between host and microbes. Approaches that can inhibit infection, suppress chronic inflammation and reverse the dysbiosis are discussed, as a means for restoring the balance between host and microbes. This comprehensive work will be beneficial to researchers and students interested in infectious diseases, microbiome, and cancer as well as clinicians and general physiologists.

Encyclopedia of Clinical Psychology Set Book PDF

Encyclopedia of Clinical Psychology Set

  • Author : Robin L. Cautin
  • Publisher : John Wiley & Sons
  • Release Date : 2015-01-20
  • Genre : Psychology
  • Pages : 3224
  • ISBN : 9780470671276

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Encyclopedia of Clinical Psychology Set Book Description :

Available online, or as a 5-volume print set, The Encyclopedia of Clinical Psychology includes well over 500 A-Z entries covering the main topics, key concepts, and influential figures in this field. Serves as a comprehensive reference with particular emphasis on the scientific basis of the field; philosophical and historical issues; cultural considerations; and conflicts and controversies Offers an historiographical overview, demonstrating how concepts have developed over time and the ways in which research influences practice Cites the best and most up-to-date scientific evidence for each topic and encourages readers to think critically when evaluating the validity of various scientific claims, theories, and techniques Available on Wiley Online Library with interactive cross-referencing links and powerful searching and browsing capabilities within the work, or as a five-volume print set

Handbook on Measurement  Assessment  and Evaluation in Higher Education Book PDF

Handbook on Measurement Assessment and Evaluation in Higher Education

  • Author : Charles Secolsky
  • Publisher : Routledge
  • Release Date : 2017-07-31
  • Genre : Education
  • Pages : 738
  • ISBN : 9781317485544

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Handbook on Measurement Assessment and Evaluation in Higher Education Book Description :

In this valuable resource, well-known scholars present a detailed understanding of contemporary theories and practices in the fields of measurement, assessment, and evaluation, with guidance on how to apply these ideas for the benefit of students and institutions. Bringing together terminology, analytical perspectives, and methodological advances, this second edition facilitates informed decision-making while connecting the latest thinking in these methodological areas with actual practice in higher education. This research handbook provides higher education administrators, student affairs personnel, institutional researchers, and faculty with an integrated volume of theory, method, and application.

Structural Equation Modeling for Health and Medicine Book PDF

Structural Equation Modeling for Health and Medicine

  • Author : Douglas D. Gunzler
  • Publisher : CRC Press
  • Release Date : 2021-04-12
  • Genre : Mathematics
  • Pages : 319
  • ISBN : 9781351329712

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Structural Equation Modeling for Health and Medicine Book Description :

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

The Oxford Handbook of Quantitative Methods  Volume 1  Foundations Book PDF

The Oxford Handbook of Quantitative Methods Volume 1 Foundations

  • Author : Todd D. Little
  • Publisher : Oxford University Press
  • Release Date : 2013-01-15
  • Genre : Psychology
  • Pages : 506
  • ISBN : 9780199934881

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The Oxford Handbook of Quantitative Methods Volume 1 Foundations Book Description :

Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.