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Author: Robert Franzese Publisher: University of Michigan Press ISBN: 0472022997 Category : Political Science Languages : en Pages : 164
Book Description
Social scientists study complex phenomena about which they often propose intricate hypotheses tested with linear-interactive or multiplicative terms. While interaction terms are hardly new to social science research, researchers have yet to develop a common methodology for using and interpreting them. Modeling and Interpreting Interactive Hypotheses in Regression Analysis provides step-by-step guidance on how to connect substantive theories to statistical models and how to interpret and present the results. "Kam and Franzese is a must-have for all empirical social scientists interested in teasing out the complexities of their data." ---Janet M. Box-Steffensmeier, Ohio State University "Kam and Franzese have written what will become the definitive source on dealing with interaction terms and testing interactive hypotheses. It will serve as the standard reference for political scientists and will be one of those books that everyone will turn to when helping our students or doing our work. But more than that, this book is the best text I have seen for getting students to really think about the importance of careful specification and testing of their hypotheses." ---David A. M. Peterson, Texas A&M University "Kam and Franzese have given scholars and teachers of regression models something they've needed for years: a clear, concise guide to understanding multiplicative interactions. Motivated by real substantive examples and packed with valuable examples and graphs, their book belongs on the shelf of every working social scientist." ---Christopher Zorn, University of South Carolina "Kam and Franzese make it easy to model what good researchers have known for a long time: many important and interesting causal effects depend on the presence of other conditions. Their book shows how to explore interactive hypotheses in your own research and how to present your results. The book is straightforward yet technically sophisticated. There are no more excuses for misunderstanding, misrepresenting, or simply missing out on interaction effects!" ---Andrew Gould, University of Notre Dame Cindy D. Kam is Assistant Professor, Department of Political Science, University of California, Davis. Robert J. Franzese Jr. is Associate Professor, Department of Political Science, University of Michigan, and Research Associate Professor, Center for Political Studies, Institute for Social Research, University of Michigan. For datasets, syntax, and worksheets to help readers work through the examples covered in the book, visit: www.press.umich.edu/KamFranzese/Interactions.html
Author: Robert Franzese Publisher: University of Michigan Press ISBN: 0472022997 Category : Political Science Languages : en Pages : 164
Book Description
Social scientists study complex phenomena about which they often propose intricate hypotheses tested with linear-interactive or multiplicative terms. While interaction terms are hardly new to social science research, researchers have yet to develop a common methodology for using and interpreting them. Modeling and Interpreting Interactive Hypotheses in Regression Analysis provides step-by-step guidance on how to connect substantive theories to statistical models and how to interpret and present the results. "Kam and Franzese is a must-have for all empirical social scientists interested in teasing out the complexities of their data." ---Janet M. Box-Steffensmeier, Ohio State University "Kam and Franzese have written what will become the definitive source on dealing with interaction terms and testing interactive hypotheses. It will serve as the standard reference for political scientists and will be one of those books that everyone will turn to when helping our students or doing our work. But more than that, this book is the best text I have seen for getting students to really think about the importance of careful specification and testing of their hypotheses." ---David A. M. Peterson, Texas A&M University "Kam and Franzese have given scholars and teachers of regression models something they've needed for years: a clear, concise guide to understanding multiplicative interactions. Motivated by real substantive examples and packed with valuable examples and graphs, their book belongs on the shelf of every working social scientist." ---Christopher Zorn, University of South Carolina "Kam and Franzese make it easy to model what good researchers have known for a long time: many important and interesting causal effects depend on the presence of other conditions. Their book shows how to explore interactive hypotheses in your own research and how to present your results. The book is straightforward yet technically sophisticated. There are no more excuses for misunderstanding, misrepresenting, or simply missing out on interaction effects!" ---Andrew Gould, University of Notre Dame Cindy D. Kam is Assistant Professor, Department of Political Science, University of California, Davis. Robert J. Franzese Jr. is Associate Professor, Department of Political Science, University of Michigan, and Research Associate Professor, Center for Political Studies, Institute for Social Research, University of Michigan. For datasets, syntax, and worksheets to help readers work through the examples covered in the book, visit: www.press.umich.edu/KamFranzese/Interactions.html
Author: Richard B. Darlington Publisher: Guilford Publications ISBN: 1462521134 Category : Social Science Languages : en Pages : 688
Book Description
Ephasizing 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: Azizur Rahman Publisher: CRC Press ISBN: 104014697X Category : Mathematics Languages : en Pages : 419
Book Description
In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain. This book is the ideal companion in navigating the convergence of statistical methodologies and data science techniques with diverse applications implemented in the open-source environment of R. It is designed to be a comprehensive guide, marrying the principles of biostatistics with the practical implementation of statistics and data science in R, thereby empowering learners, researchers, and practitioners with the tools necessary to extract meaningful knowledge from biological, health, and medical datasets. This book is intended for students, researchers, and professionals eager to harness the combined power of biostatistics, data science, and the R programming language while gathering vital statistical knowledge needed for cutting-edge scientists in all fields. It is useful for those seeking to understand the basics of data science and statistical analysis, or looking to enhance their skills in handling any simple or complex data including biological, health, medical, and industry data. Key Features: Presents contemporary concepts of data science and biostatistics with real-life data analysis examples Promotes the evolution of fundamental and advanced methods applying to real-life problem-solving cases Explores computational statistical data science techniques from initial conception to recent developments of biostatistics Provides all R codes and real-world datasets to practice and competently apply into reader’s own domains Written in an exclusive state-of-the-art deductive approach without any theoretical hitches to support all contemporary readers
Author: Andrew F. Hayes Publisher: Guilford Press ISBN: 1462511279 Category : Psychology Languages : en Pages : 527
Book Description
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: Robert L. Kaufman Publisher: SAGE Publications ISBN: 1506365396 Category : Social Science Languages : en Pages : 609
Book Description
Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata (downloadable from the Robert L. Kaufman’s website), and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The data sets and the Stata code to reproduce the results of the application examples are available online.
Author: Tony Affigne Publisher: NYU Press ISBN: 0814771319 Category : Political Science Languages : en Pages : 321
Book Description
More than 53 million Latinos now constitute the largest, fastest-growing, and most diverse minority group in the United States, and the nationOCOs political future may well be shaped by LatinosOCO continuing political incorporation. In the 2012 election, Latinos proved to be a critical voting bloc in both Presidential and Congressional races; this demographic will only become more important in future American elections. Using new evidence from the largest-ever scientific survey addressed exclusively to Latino/Hispanic respondents, a Latino Politics a en Ciencia Pol tica aexplores political diversity within the Latino community, considering how intra-community differences influence political behavior and policy preferences. The editors and contributors, all noted scholars of race and politics, examine key issues of Latino politics in the contemporary United States: Latino/a identities ( latinidad ), transnationalism, acculturation, political community, and racial consciousness. The book contextualizes todayOCOs research within the history of Latino political studies, from the fieldOCOs beginnings to the present, explaining how systematic analysis of Latino political behavior has over time become integral to the study of political science.a Latino Politics aen Ciencia Pol tica is thus an ideal text for learning both the state of the field today, and key dimensions of Latino political attitudes."
Author: Luigi Curini Publisher: SAGE ISBN: 1526486393 Category : Political Science Languages : en Pages : 1941
Book Description
The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions & Designing Good Research Projects Part Two: Methods of Theoretical Argumentation Part Three: Conceptualization & Measurement Part Four: Large-Scale Data Collection & Representation Methods Part Five: Quantitative-Empirical Methods Part Six: Qualitative & "Mixed" Methods
Author: Lauren J. Peritz Publisher: University of Chicago Press ISBN: 0226822141 Category : Political Science Languages : en Pages : 360
Book Description
A timely investigation into the conditions that make international agreements—and the institutions that enforce them—vulnerable. When do international institutions effectively promote economic cooperation among countries and help them resolve conflict? Although the international system lacks any central governing authority, states have created rules, particularly around international economic relations, and empowered international tribunals to enforce those rules. Just how successful are these institutions? In Delivering on Promises Lauren J. Peritz demonstrates that these international courts do indeed deliver results—but they are only effective under certain conditions. As Peritz shows, states are less likely to comply with international rules and international court decisions when domestic industries have the political ability to obstruct compliance in particular cases. The author evaluates the argument with an extensive empirical analysis that traces the domestic politics of compliance with the decisions of two international economic courts: the World Trade Organization’s dispute settlement mechanism and the Court of Justice of the European Union. At a time when international agreements are under attack, this book sheds light on the complex relationship between domestic politics and international economic cooperation, offering detailed evidence that international economic courts are effective at promoting interstate cooperation.
Author: Dag Tanneberg Publisher: Springer Nature ISBN: 3030354776 Category : Political Science Languages : en Pages : 185
Book Description
Does authoritarian rule benefit from political repression? This book claims that it does, if restrictions and violence, two fundamentally different forms of repression, complement each other. Based on an in-depth quantitative analysis of the post-Second World War period, the author draws three central conclusions. Firstly, restrictions and violence offer different advantages, suffer from different drawbacks, and matter differently for identical problems of authoritarian rule. Secondly, empirical data supports complementarity only as long as political repression preempts political opposition. Lastly, despite its conceptual centrality, political repression has little influence on the outcomes of authoritarian politics. The book also offers new insights into questions such as whether repression hinders successful political campaigns or whether it is more likely to trigger coups d’état.
Author: Stephanie J. Rickard Publisher: Cambridge University Press ISBN: 1108422322 Category : Business & Economics Languages : en Pages : 263
Book Description
Explores how political institutions and economic geography interact to shape governments' policy decisions, particularly with respect to subsidies.
Author: Robert Franzese
Author: Robert Franzese
Author: Richard B. Darlington
Author: Azizur Rahman
Author: Andrew F. Hayes
Author: Robert L. Kaufman
Author: Tony Affigne
Author: Luigi Curini
Author: Lauren J. Peritz
Author: Dag Tanneberg
Author: Stephanie J. Rickard