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| Author | : Andrew F. Hayes |
| Publisher | : Guilford Publications |
| Total Pages | : 714 |
| Release | : 2017-10-30 |
| Genre | : Social Science |
| ISBN | : 146253466X |
This book has been replaced by Introduction to Mediation, Moderation, and Conditional Process Analysis, Third Edition, ISBN 978-1-4625-4903-0.
| Author | : Andrew F. Hayes |
| Publisher | : Guilford Press |
| Total Pages | : 527 |
| Release | : 2013-04-22 |
| Genre | : Psychology |
| ISBN | : 1462511279 |
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.
| Author | : Paul E. Jose |
| Publisher | : Guilford Press |
| Total Pages | : 354 |
| Release | : 2013-02-25 |
| Genre | : Psychology |
| ISBN | : 1462508235 |
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.
| Author | : Richard B. Darlington |
| Publisher | : Guilford Publications |
| Total Pages | : 689 |
| Release | : 2016-08-22 |
| Genre | : Social Science |
| ISBN | : 1462527981 |
Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.
| Author | : David MacKinnon |
| Publisher | : Routledge |
| Total Pages | : 479 |
| Release | : 2012-10-02 |
| Genre | : Medical |
| ISBN | : 1136676139 |
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.
| Author | : Andrew F. Hayes |
| Publisher | : Routledge |
| Total Pages | : 682 |
| Release | : 2020-10-14 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1135250898 |
Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication. Highlights of this text include: *thorough and balanced coverage of topics; *integration of classical methods with modern "resampling" approaches to inference; *consideration of practical, "real world" issues; *numerous examples and applications, all drawn from communication research; *up-to-date information, with examples justifying use of various techniques; and *downloadable resources with macros, data sets, figures, and additional materials. This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline.
| Author | : Gregory R. Hancock |
| Publisher | : IAP |
| Total Pages | : 702 |
| Release | : 2013-03-01 |
| Genre | : Education |
| ISBN | : 1623962463 |
Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
| Author | : Leona S. Aiken |
| Publisher | : SAGE |
| Total Pages | : 228 |
| Release | : 1991 |
| Genre | : Business & Economics |
| ISBN | : 9780761907121 |
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
| Author | : Dawn Iacobucci |
| Publisher | : SAGE |
| Total Pages | : 105 |
| Release | : 2008-04 |
| Genre | : Mathematics |
| ISBN | : 141292569X |
Explores even the fundamental assumptions underlying mediation analysis
| Author | : Norm Friesen |
| Publisher | : Peter Lang |
| Total Pages | : 282 |
| Release | : 2009 |
| Genre | : Computers |
| ISBN | : 9781433101359 |
In the rapidly-changing world of the Internet and the Web, theory and research struggle to keep up with technological, social, and economic developments. In education in particular, a proliferation of novel practices, applications, and forms - from bulletin boards to Webcasts, from online educational games to open educational resources - have come to be addressed under the rubric of «e-learning». In response to these phenomena, Re-thinking E-Learning Research introduces a number of research frameworks and methodologies relevant to e-learning. The book outlines methods for the analysis of content, narrative, genre, discourse, hermeneutic-phenomenological investigation, and critical and historical inquiry. It provides examples of pairings of method and subject matter that include narrative research into the adaptation of blogs in a classroom setting; the discursive-psychological analysis of student conversations with artificially intelligent agents; a genre analysis of an online discussion; and a phenomenological study of online mathematics puzzles. Introducing practical applications and spanning a wide range of the possibilities for e-learning, this book will be useful for students, teachers, and researchers in e-learning.
