Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis.
This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher.
Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the techniqueÆs most powerful featureùthe evaluation of interaction effects. Written to remedy this situation, author James Jaccard clearly describes the issues underlying the effective analysis of interaction in factorial designs. The book begins by describing different ways of characterizing interactions in ANOVA, elucidating both moderator conceptualizations of interactions as well as that of residualized means. After discussing interaction effects using traditional hypothesis testing approaches, he then covers alternative analytic frameworks that focus on effect size methodology and interval estimation. Jaccard summarizes criticisms of classical null hypothesis testing and offers practical guidelines for pursuing magnitude estimation and interval estimation approaches. In addition, Jaccard shows applications of all three approaches to the analysis of interactions using a complete numerical example; discusses strategies for effectively exploring interactions in higher order designs and designs with more than two levels per factor; highlights the central role of single degree of freedom contrasts and provides numerous illustrations for formulating such contrasts; considers simplified approaches to statistical power analysis; describes approaches to consider when statistical assumptions are not met; explicates the case of unequal sample sizes; considers the impact of measurement error; and demonstrates computer applications. Readers who have wanted a book that fully discusses different conceptualizations of interactions as well as one that provides practical guidelines for analyzing complex interactions will find this volume the one that they have been seeking.
With detailed examples, this book demonstrates the use of the computer program LISREL and how it can be applied to the analysis of interactions in regression frameworks. The authors consider a wide range of applications including: qualitative moderator variables; longitudinal designs; and product term analysis. They describe different types of measurement error and then present a discussion of latent variable representations of measurement error which serves as the foundation for the analyses described in later chapters. Finally they offer a brief introduction to LISREL and show how it can be used to execute the analyses. Readers can use this book without any prior training in LISREL and will find it an excellent introduction to analytic methods that deal with the problem of measurement error in the analysis of interactions.
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.
The problem of unintended pregnancies among adolescents is a serious one. Millions of dollars have been spent and hundreds of social science investigations have been conducted in the attempt to address the problem. The present book reports the results of a federally funded research project on parent-teenager communication about premarital sex and birth control. Both the role and potential of parents in influencing the sexual behavior of their teenagers has been questioned by many social scientists. The literature is characterized by studies that tend to observe little relationship between measures of parent-teen communication and teen sexual behavior. Many of our colleagues informally express the viewpoint that parents have little to do with the sexual behavior of their teens and that attempts to reduce unintended pregnancies through parental involvement will be futile. Indeed, when we first sought funding for the present research, several reviewers were skeptical for just this reason. It is our belief that parents can play an important role in preventing unintended pregnancies. In our opinion, past research has failed to make important conceptual distinctions which has resulted in an underestimation of the potential utility of parent-teen communication. We believe that the study reported here is consistent with this opinion. We have written the book with two goals. First, we wanted to identify important conceptual and methodological points that future researchers can consider in exploring this important area of inquiry. Second, we wanted to develop some of the applied implications of these points vis-a-vis our data.
* For any introductory level statistics course in the behavioral sciences or related fields..* Shows the rationale behind the formulas and procedures they use and how it fits into research..* ''Examples from Literature'' sections in each chapter show students the applications of techniques.
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.
Offers a comprehensive, accessible introduction to experimental design, field monitoring skills for plants and animals, data analysis, interpretation and reporting This user-friendly book presents field monitoring skills for both plants and animals, within the context of a research project. This text provides a single resource to take the reader all the way through from the planning stage, into the field, guiding through sampling, organism identification, computer-based data analysis and interpretation, and finally how to present the results to maximise the impact of the work. Logically structured throughout, and revised extensively in the second edition, the book concentrates on the techniques required to design a field-based ecological survey and shows how to execute an appropriate sampling regime. It evaluates appropriate sampling and analytical methods, identifying potential problems associated with various techniques and how to mitigate these. The second edition of this popular text has updated reference material and weblinks, increased the number of case studies by 50% to illustrate the use of specific techniques in the field, added over 20% more figures (including 8 colour plates), and made more extensive use of footnotes to provide extra details. Extensions to topics covered in the first edition include additional discussion of: ethical issues; statistical methods (sample size estimation, use of the statistical package R, mixed models); bioindicators, especially for freshwater pollution; seeds, fecundity and population dynamics including static and dynamic life tables; forestry techniques including tree coring and tree mortality calculations; the use of data repositories; writing for a journal and producing poster and oral presentations. In addition, the use of new and emerging technologies has been a particular focus, including mobile apps for environmental monitoring and identification; land cover and GIS; the use of drones including legal frameworks and codes of practice; molecular field techniques including DNA analysis in the field (including eDNA); photo-matching for identifying individuals; camera trapping; modern techniques for detecting and analysing bat echolocation calls; and data storage using the cloud. Divided into six distinct chapters, Practical Field Ecology, 2nd Edition begins at project inception with a chapter on planning—covering health and safety, along with guidance on how to ensure that the sampling and experimental design is suitable for subsequent statistical analysis. Following a chapter dealing with site characterisation and general aspects of species identification, subsequent chapters describe the techniques used to survey and census particular groups of organisms. The final chapters cover analysing, interpreting and presenting data, and writing up the research. Offers a readable and approachable integrated guide devoted to field-based research projects Takes students from the planning stage, into the field, and clearly guides them through organism identification in the laboratory and computer-based data analysis, interpretation and data presentation Includes a chapter on how to write project reports and present findings in a variety of formats to differing audiences Aimed at undergraduates taking courses in Ecology, Biology, Geography, and Environmental Science, Practical Field Ecology, 2nd Edition will also benefit postgraduates seeking to support their projects.
Over the past decade carbon capture and storage (CCS) has increasingly come to the fore as a possible option to manage carbon dioxide emissions that are currently contributing to human induced climate change. This book is concerned with the politics of CCS. The authors examine the way CCS has been brought into the political realm, the different interpretations of the significance of this emerging technology, and the policy challenges government and international institutions face with respect to its development, deployment and regulation. The book includes case studies of engagement with CCS in a number of developed countries as well as more thematically focused analysis.
This book constitutes the refereed proceedings of the 6th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2005, held in Brisbane, Australia, in July 2005. The 76 revised full papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in topical sections on data mining and knowledge engineering, learning algorithms and systems, bioinformatics, agent technologies, and financial engineering.
Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.
Research on social networks has become a significant area of investigation in the social sciences, and social network concepts and tools are widely employed across many subfields within the field. This volume introduces political theorists and researchers to new theoretical, methodological, and substantive tools for extending political network research into new realms and revitalizing established domains. The authors synthesize new understandings of multimodal political networks, consisting of two or more types of social entities - voters, politicians, parties, events, organizations, nations - and the complex relations between them. They discuss ways to theorize about multimodal connections, methods for measuring and analyzing multimodal datasets, and how the results can reveal new insights into political structures and action. Several empirical applications demonstrate in great detail how multimodal analysts can detect and visualize political communities consisting of diverse social entities.
Resurrecting a forgotten chapter in transatlantic history, James G. Cusick tells how, just before the United States went to war against Great Britain in 1812, an ill-advised invasion of a Spanish colony became a stage on which the young republic clumsily acted out its imperial ambitions and racial fears. With the halfhearted backing of President James Madison and Secretary of State James Monroe, a party of Georgians invaded East Florida, confident that partisans there would help them swiftly wrest the colony away from Spain. The raid was a strategic and political disaster. Few sympathizers materialized, official U.S. support dissolved, and an extended guerrilla war ensued. This was the "other war of 1812," or the Patriot War. Cusick, a lively storyteller as well as a meticulous scholar, conveys the savagery of the borderlands conflict that pitted American adventurers and anti-Spanish partisans against Spanish loyalists and their allies, who included Seminole Indians and escaped slaves. At the same time, Cusick looks at the American motivations behind the invasion, including apprehensions about Florida's growing population of unregulated blacks and geopolitical intrigues involving Spain, Britain, and France.
This thesis proposes a reconceptualization of the "attitude" as a multidimensional latent process, which may be unstable across situations, individuals, and time. A review of the literature in light of this reconceptualization reveals aspects of the survey situation that may systematically influence measures of attitudes, behaviors, and social norms. This suggests that contradictory findings regarding attitude-behavior consistency may be partly due to specific inadequacies of conventional measures. A reflexive research strategy is proposed, which supplements survey methods with both quantitative and qualitative assessments of measurement validity. This strategy is applied in a case study of attitudes, norms, and diet in five vegetarian student cooperative houses. Analyses test the sufficiency of a revised Model of Reasoned Action for predicting members' intentions to abstain from eating beef, chicken, or fish. Throughout the analyses, several methodological issues are explored in an effort to optimize validity: elicitation and fixed response items, generality of referents and expected consequences, subjective and objective measures of social norms, allowance for composite behavioral intentions, and specification of regression models. Implications for future theoretical research and the design of reflexive behavioral interventions are discussed.
This work was created from the statement “But, all you have to do is make the robot recognize its surroundings. Salamanders do it, and how complex are they?” Little did we know what a long path was started with those simple words. This book is a small step on that path, which we hope leads to robots that can serve as true and useful assistants to humans. At the least, we hope for some help with the tasks that are described by the 3 d**** words (dull, dirty, or dangerous). Fair warning, this work is a synthesis of ideas from many disciplines. As such, we have depended on the work of many other researchers and philosophers. The heart of this work, the lens model, comes from the work of Egon Brunswik. Even though he died in the 1950’s, his ideas are still strong enough to resonate into the 2000’s and into our robot. Another researcher who’s work has greatly in?uenced this work is Walter Freeman, Professor Emeritus of Neurobiology at the University of California, Berkeley. We have relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different ?elds. Our huge thanks to all the researchers who’s work we used to synthesize this new theory. Denver, CO Louise F. Gunderson July 2008 James P.
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