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This accessible, hands-on text has now been revised and updated, with expanded coverage of topics including how theory may emerge from exploratory data analysis. The book prepares graduate students, new researchers, and even seasoned investigators to develop their own theories and build on existing ones. Concrete strategies are provided to help readers generate ideas, define constructs, and think through relationships and processes that link constructs. Compelling examples from multiple disciplines illustrate the use of quantitative, qualitative, and mixed methods orientations to theory construction. The text also offers practical advice for writing effectively about theories in papers and grant applications. Readers learn by doing via application and concept exercises, demonstration boxes, and practical guidelines. The extensive companion website (www.theory-construction.com) includes PowerPoint slides of all of the book's figures, primers on advanced topics, video demonstrations, supplemental exercises, and other resources. New to This Edition *Emergent theory is now covered in mixed methods as well as qualitative approaches, plus in a new chapter on exploratory quantitative methods that can help generate new theory through data mining. *Chapter on whether and how to revise a theory when faced with disconfirmatory data. *Two chapters on the theoretical underpinnings of measurement practices. *New or expanded discussions of what constitutes a theoretical contribution, conceptual logic models, thought experiments, and more. Pedagogical Features *Application and concept exercises in every chapter. *Lists of key terms and engaging topical boxes. *Annotated suggestions for further reading. *New companion website with rich resources for students and instructors. *Chapters stand on their own and can be used in any order.
"This book provides young scientists with tools to assist them in the practical aspects of theory construction. We take an informal journey through the cognitive heuristics, tricks of the trade, and ways of thinking that we have found to be useful in developing theories-essentially, conceptualizations-that can advance knowledge in the social sciences. This book is intended to provide the instructor with a useful source for helping students come up with ideas for research and for fine-tuning the resultant theories that emerge from such thinking. An objective of this book is to move toward a needed balance in the emphases given to theory construction and theory testing"--
Theory matters in applied disciplines—fields that apply scholarly research to professional practice, such as management, social work, health care, human resource development, education, and many others. Because these disciplines deal with human beings in the real world, a flawed theory can result in actual harm to people and institutions. When faced with a professional problem, practitioners resort to the latest fad or simply throw everything and anything at it because of the lack of sound theory. Scholars deal with problems by slicing them into small segments to study them but fail to address the practical implications. What's needed is a way to unite research and practice to create robust theory. This is exactly what Richard Swanson and Thomas Chermack offer here: a complete, five-step method for developing sound, field-tested theory in applied disciplines. Unlike many existing methods, which cover only the initial conceptualization of a theory, the authors offer a complete approach, from conceptualizing a theory to creating relevant assessment criteria, establishing a research agenda to test the theory's validity, applying the theoretical concepts in the real world, and using that experience to further refine and improve the theory. The method is not restricted to any single discipline, nor is it beholden to any research ideology. Swanson and Chermack provide a set of tools for each phase of the process, making this book accessible and applicable to a wide audience. And in addition to examples in each chapter, they offer two extended case examples of complete theory building. With flawed theories impeding the development of many applied disciplines, this book is desperately needed.
Family Theories: An Introduction by James M. White, Todd F. Martin, and new co-author Kari Adamsons provides an incisive, thorough primer to current theories of the family that balances the diversity and richness of a broad scope of scholarly work in a concise manner. This best-selling text draws upon eight major theoretical frameworks developed by key social scientists to explain variation in family life. These frameworks include social exchange and choice, symbolic-interaction, family life course development, systems, conflict, feminist, ecological, and functional theories. This new Fifth Edition includes suggestions for integrating theory to guide a research program and more applications for those going on to careers in the helping professions. With an increased focus on both classical theories as well as contemporary and emerging theories, this text challenges students to think about how families and family theories have changed over the last 70 years as well as where family scholarship is headed.
This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.
Widely considered one of the best practical guides to programming, Steve McConnell’s original CODE COMPLETE has been helping developers write better software for more than a decade. Now this classic book has been fully updated and revised with leading-edge practices—and hundreds of new code samples—illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking—and help you build the highest quality code. Discover the timeless techniques and strategies that help you: Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor—or evolve—code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project
This volume provides the first authoritative explication of metatheoretical principles in the construction and evaluation of social-psychological theories. Leading international authorities review the conceptual foundations of the field's most influential approaches, scrutinizing the range and limits of theories in various areas of inquiry. The chapters describe basic principles of logical inference, illustrate common fallacies in theoretical interpretations of empirical findings, and outline the unique contributions of different levels of analysis. An in-depth look at the philosophical foundations of theorizing in social psychology, the book will be of interest to any scholar or student interested in scientific explanations of social behavior.
Beloved for its engaging, conversational style, this valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM. Emphasizing a decision-making approach, leading methodologist Todd D. Little describes the steps of modeling a longitudinal change process. He explains the big picture and technical how-tos of using longitudinal confirmatory factor analysis, longitudinal panel models, and hybrid models for analyzing within-person change. User-friendly features include equation boxes that translate all the elements in every equation, tips on what does and doesn't work, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for the examples--including studies of bullying and victimization, adolescents' emotions, and healthy aging--along with syntax and output, chapter quizzes, and the book’s figures. New to This Edition: *Chapter on missing data, with a spotlight on planned missing data designs and the R-based package PcAux. *Chapter on longitudinal mixture modeling, with Whitney Moore. *Chapter on the random intercept cross-lagged panel model (RI-CLPM), with Danny Osborne. *Chapter on Bayesian SEM, with Mauricio Garnier. *Revised throughout with new developments and discussions, such as how to test models of experimental effects.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.