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Multilevel Structural Equation Modeling
Multilevel Structural Equation Modeling serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.
The Ideational Approach to Populism
Populism is on the rise in Europe and the Americas. Scholars increasingly understand populist forces in terms of their ideas or discourse, one that envisions a cosmic struggle between the will of the common people and a conspiring elite. In this volume, we advance populism scholarship by proposing a causal theory and methodological guidelines – a research program – based on this ideational approach. This program argues that populism exists as a set of widespread attitudes among ordinary citizens, and that these attitudes lie dormant until activated by weak democratic governance and policy failure. It offers methodological guidelines for scholars seeking to measure populist ideas and test their effects. And, to ground the program empirically, it tests this theory at multiple levels of analysis using original data on populist discourse across European and US party systems; case studies of populist forces in Europe, Latin America, and the US; survey data from Europe and Latin America; and experiments in Chile, the US, and the UK. The result is a truly systematic, comparative approach that helps answer questions about the causes and effects of populism.
Contemporary Populism
The fundamental question uniting the contributions to this volume is: what exactly is populism? This is certainly not a new question, as a large amount of literature has focused on this topic for more than half a century. As little conceptual consensus has been reached so far, this book aims to reduce the level of abstraction. To this end, it approaches the populist phenomenon from a broader theoretical and empirical perspective, making reference to its developments on several continents. The book is divided into two parts: the first is theoretical and discusses various perspectives on populism, while the second is empirical and emphasises the diversity of the forms populism has embraced thr...
The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research
A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic—such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis—will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.
Practical Statistics
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Structural Equation Modeling
Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.
The Politics of Legislative Debates
Legislative debates make democracy and representation work. Political actors engage in legislative debates to make their voice heard to voters. Parties use debates to shore up their brand. This book makes the most comprehensive study of legislative debates thus far, looking at the politics of legislative debates in 33 liberal democracies in Europe, North America and Latin America, Africa, Asia, and Oceania. The book begins with theoretical chapters focused on the key concepts in the study of legislative debates. Michael Laver, Slapin and Proksch, and Taylor examine the politics of legislative debates in parliamentary and presidential democracies. Subsequently, Goplerud makes a critical revie...
Populist Mobilization
While much of the political science literature on populism focuses on key political actors within the party system, a good deal less attention has been paid to forms of populist contention that feature ordinary citizens protesting against elite rule and championing the cause of 'the People' around the world. Populist Mobilization redresses this imbalance and presents a novel theoretical framework for the study of grassroots populist movements by integrating Laclauian discourse analysis with collective action frame theory. Aslanidis examines two widely influential movements that emerged from the protest cycle of the Great Recession: the Icelandic Pots and Pans Revolution and the Greek indigna...
Basics of Structural Equation Modeling
With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark
