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The study examines the predictability during the extratropical transition (ET) of tropical cyclones using the THORPEX Interactive Grand Global Ensemble (TIGGE), a multimodel ensemble prediction system (EPS). It is shown that TIGGE exhibits more possible development scenarios than a single EPS. By analysing the eddy kinetic energy budget of forecast scenarios for two ET cases, extracted from an EPS, the impact of the transitioning tropical cyclones on the midlatitude flow is studied in detail.
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.
Much of public opinion research over the past several decades suggests that the American voters are woefully uninformed about politics and thus unable to fulfill their democratic obligations. Arguing that this perception is faulty, Vincent Hutchings shows that, under the right political conditions, voters are surprisingly well informed on the issues that they care about and use their knowledge to hold politicians accountable. Though Hutchings is not the first political scientist to contend that the American public is more politically engaged than it is often given credit for, previous scholarship--which has typically examined individual and environmental factors in isolation--has produced on...
In recent decades, Christian clergy have ever more frequently had to decide whether to become involved in politics. When they do become involved, their influence can be substantial. In this book Sue E. S. Crawford, Laura R. Olson, and their coauthors explore the political choices clergy make and the consequences of these choices. Drawing on personal interviews and statistical data to place the actions of clergy in both their religious and secular contexts, the authors study mainline and evangelical Protestant, Catholic, and Mennonite communities. They examine the role of white, African American, and female religious leaders. And they address issues of local development, city government, and ...
Campaign Dynamics: The Race for Governor explores the dynamic interaction between candidates and voters that takes place during campaigns. It finds that voters respond in a meaningful way to what candidates say and do during their campaigns. Candidates for state-wide and national offices spend millions of dollars and thousands of hours trying to convey their messages to voters. Do voters hear them and respond? More specifically, do the issues candidates stress on the campaign trail influence the choices voters make when casting their ballots? The evidence presented in this book suggests that the answer is a resounding yes. Campaign Dynamics examines more than one hundred gubernatorial electi...
Econometricians make choices on data, models, and estimation routines. Using various examples, this book shows the consequences of choices.
A more appropriate Monte-Carlo-test model is proposed and a brief review of the recent literature is provided.
Explores a multitude of perspectives, problems, and ways of measuring human behavior
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 a...
First Published in 2007. Routledge is an imprint of Taylor & Francis, an Informa company.