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Dyadic Data Analysis
David A. Kenny, Deborah A. Kashy, and William L. Cook
Foreword by Jeffry A. Simpson
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"It will help researchers to formulate new ways of addressing old research questions in a more elegant and comprehensive manner....Destined to become a classic methodology text and will hold valued space on the bookshelves of methodologists and researchers of social concerns."
-Journal of Social and Clinical Psychology
"An important source for any social scientist who has ever analyzed data involving pairs of people. Journal editors and reviewers are also recommended to know the contents of this book, because it will likely result in new requirements for publishing dyadic research that are essential as reliability and effect-size....[A] clear and purposeful text for detailed how-to instructions on specific analytical techniques....Kenny et al. make an invaluable contribution by walking readers through ANOVA, SEM, regression, and time-series analyses involving dyads, complete with SPSS and SAS syntax....The book ends with an eye-opening summary of 'the seven deadly sins of dyadic data analysis' (p. 421) that may serve as an excellent starting point for readers with immediate analytic concerns....Thorough, comprehensive, and clear."
-Journal of Anthropological Research
"By providing readers with a well-written, nontechnical, description of various forms of interdependence and how they can be quantitatively analyzed, the authors make a tremendous advancement of our field. Simply put, this book has the potential to drastically advance the ways that researchers conceptualize, design studies, and analyze data involving interdependent processes....The most important contribution of this book lies in the fact that it is the first comprehensive treatment of how researchers can quantitatively analyze various patterns of interdependent data....The book is exceptionally well written. The authors have clearly made great efforts to ensure that the book is straightforward and accessible by writing in an extremely clear and engaging manner....I consider this book essential reading for any psychologist who claims to have adequate training in data analysis....Valuable reading both early in psychologists' training, perhaps immediately after introductory courses in multivariate statistics, and later in psychologists' training after they have more exposure to advanced quantitative methods....More seasoned researchers will also find this book valuable and may even wish this book had been available earlier in their careers....This book has the very real possibility of sparking an important change in how researchers conceptualize, study, and quantitatively analyze interdependent processes....I expect that this book will have a substantial impact on the field and highly recommend it to all psychologists who study interdependent phenomena."
-APA PsycCRITIQUES
"It is rare to find a book that provides a nicely organized discussion of the approaches to evaluation, as well as hands-on information on managing evaluation, evaluation ethics, different evaluation philosophies, and utilization of evaluation. I especially liked the distinction among the various interventions that are the focus of evaluations, and the charts of the forms of evaluation. I also liked the focus on planning and diagnostic evaluation. The graphics are excellent, and Owen makes good use of inset boxes for examples. I would use the book in an introductory evaluation class to provide students with a roadmap of evaluation approaches and techniques and when and why to use them. This is one of only a few available texts that assemble techniques and approaches used in various countries across the world, and thus it should appeal to a wide audience."
-Debra J. Rog, Center for Evaluation and Program Improvement, Vanderbilt University
"This book breaks entirely new ground and, for the first time, offers social scientists a detailed methodological armamentarium for the analysis of dyadic data that appear in a broad range of research contexts. The development of original and creative solutions to some of the most vexing problems in dyadic research is presented in a clear, accessible manner by these talented authors. Dyadic Data Analysis is destined to become a classic, and will be essential reading for advanced students and researchers studying dyadic phenomena."
-Tom Malloy, Department of Psychology, Rhode Island College
"If any researcher (faculty or student) asked me for advice on dyadic data, I would send him or her to this book first. It provides clear definitions, accessible reviews of topics that appear in research journals, intuitive examples, and illustrations with computer code. The authors are to be commended for taking such difficult topics and communicating them in an accessible manner."
-Richard Gonzalez, Department of Psychology, University of Michigan
"A well-written and thoroughgoing discussion of issues and approaches in the analysis of dyadic data, written by leaders in the field....The book would be appropriate for advanced undergraduate social psychology methods classes, as well as graduate seminars. I strongly recommend this text to every social relations and social psychology researcher. I expect it will soon become a widely cited classic."
-Bruno D. Zumbo, Measurement, Evaluation, and Research Methodology Program, and Department of Statistics, University of British Columbia, Canada
"A wonderful addition to every researcher's tool chest for studying social relations and social interaction....What makes [the authors'] book so useful is the array of subtle issues they discuss, from when to treat dyadic members as distinguishable or as indistinguishable, to how to array data for dyadic analyses. The kinds of questions examined--from the minute to the sweeping--indicate that this book is written by people with substantial experience in social relations research."
-Joseph N. Cappella, Annenberg School for Communication, University of Pennsylvania
"An excellent, accessible, and instructive guide to dyadic data analysis. The authors clearly explain why interdependent data are problematic when approached with classical statistical techniques. More importantly, however, they enlighten the reader about the hidden treasures and opportunities that are inherent in dyadic data. This book provides a clear survey of various analytic techniques that researchers can use to ask and answer questions about the dynamics of interpersonal interactions, and it provides an engaging review of interdisciplinary applications of dyadic data designs."
-Todd D. Little, Department of Psychology and Schiefelbusch Institute for Life Span Studies, University of Kansas
-Journal of Social and Clinical Psychology
"An important source for any social scientist who has ever analyzed data involving pairs of people. Journal editors and reviewers are also recommended to know the contents of this book, because it will likely result in new requirements for publishing dyadic research that are essential as reliability and effect-size....[A] clear and purposeful text for detailed how-to instructions on specific analytical techniques....Kenny et al. make an invaluable contribution by walking readers through ANOVA, SEM, regression, and time-series analyses involving dyads, complete with SPSS and SAS syntax....The book ends with an eye-opening summary of 'the seven deadly sins of dyadic data analysis' (p. 421) that may serve as an excellent starting point for readers with immediate analytic concerns....Thorough, comprehensive, and clear."
-Journal of Anthropological Research
"By providing readers with a well-written, nontechnical, description of various forms of interdependence and how they can be quantitatively analyzed, the authors make a tremendous advancement of our field. Simply put, this book has the potential to drastically advance the ways that researchers conceptualize, design studies, and analyze data involving interdependent processes....The most important contribution of this book lies in the fact that it is the first comprehensive treatment of how researchers can quantitatively analyze various patterns of interdependent data....The book is exceptionally well written. The authors have clearly made great efforts to ensure that the book is straightforward and accessible by writing in an extremely clear and engaging manner....I consider this book essential reading for any psychologist who claims to have adequate training in data analysis....Valuable reading both early in psychologists' training, perhaps immediately after introductory courses in multivariate statistics, and later in psychologists' training after they have more exposure to advanced quantitative methods....More seasoned researchers will also find this book valuable and may even wish this book had been available earlier in their careers....This book has the very real possibility of sparking an important change in how researchers conceptualize, study, and quantitatively analyze interdependent processes....I expect that this book will have a substantial impact on the field and highly recommend it to all psychologists who study interdependent phenomena."
-APA PsycCRITIQUES
"It is rare to find a book that provides a nicely organized discussion of the approaches to evaluation, as well as hands-on information on managing evaluation, evaluation ethics, different evaluation philosophies, and utilization of evaluation. I especially liked the distinction among the various interventions that are the focus of evaluations, and the charts of the forms of evaluation. I also liked the focus on planning and diagnostic evaluation. The graphics are excellent, and Owen makes good use of inset boxes for examples. I would use the book in an introductory evaluation class to provide students with a roadmap of evaluation approaches and techniques and when and why to use them. This is one of only a few available texts that assemble techniques and approaches used in various countries across the world, and thus it should appeal to a wide audience."
-Debra J. Rog, Center for Evaluation and Program Improvement, Vanderbilt University
"This book breaks entirely new ground and, for the first time, offers social scientists a detailed methodological armamentarium for the analysis of dyadic data that appear in a broad range of research contexts. The development of original and creative solutions to some of the most vexing problems in dyadic research is presented in a clear, accessible manner by these talented authors. Dyadic Data Analysis is destined to become a classic, and will be essential reading for advanced students and researchers studying dyadic phenomena."
-Tom Malloy, Department of Psychology, Rhode Island College
"If any researcher (faculty or student) asked me for advice on dyadic data, I would send him or her to this book first. It provides clear definitions, accessible reviews of topics that appear in research journals, intuitive examples, and illustrations with computer code. The authors are to be commended for taking such difficult topics and communicating them in an accessible manner."
-Richard Gonzalez, Department of Psychology, University of Michigan
"A well-written and thoroughgoing discussion of issues and approaches in the analysis of dyadic data, written by leaders in the field....The book would be appropriate for advanced undergraduate social psychology methods classes, as well as graduate seminars. I strongly recommend this text to every social relations and social psychology researcher. I expect it will soon become a widely cited classic."
-Bruno D. Zumbo, Measurement, Evaluation, and Research Methodology Program, and Department of Statistics, University of British Columbia, Canada
"A wonderful addition to every researcher's tool chest for studying social relations and social interaction....What makes [the authors'] book so useful is the array of subtle issues they discuss, from when to treat dyadic members as distinguishable or as indistinguishable, to how to array data for dyadic analyses. The kinds of questions examined--from the minute to the sweeping--indicate that this book is written by people with substantial experience in social relations research."
-Joseph N. Cappella, Annenberg School for Communication, University of Pennsylvania
"An excellent, accessible, and instructive guide to dyadic data analysis. The authors clearly explain why interdependent data are problematic when approached with classical statistical techniques. More importantly, however, they enlighten the reader about the hidden treasures and opportunities that are inherent in dyadic data. This book provides a clear survey of various analytic techniques that researchers can use to ask and answer questions about the dynamics of interpersonal interactions, and it provides an engaging review of interdisciplinary applications of dyadic data designs."
-Todd D. Little, Department of Psychology and Schiefelbusch Institute for Life Span Studies, University of Kansas