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Despite the growing scientific consensus about the risks of global warming and climate change, the mass media frequently portray the subject as one of great scientific controversy and debate. And yet previous studies of the mass public's subjective assessments of the risks of global warming and climate change have not sufficiently examined public informedness, public confidence in climate scientists, and the role of personal efficacy in affecting global warming outcomes. By examining the results of a survey on an original and representative sample of Americans, we find that these three forces—informedness, confidence in scientists, and personal efficacy—are related in interesting and unexpected ways, and exert significant influence on risk assessments of global warming and climate change. In particular, more informed respondents both feel less personally responsible for global warming, and also show less concern for global warming. We also find that confidence in scientists has unexpected effects: respondents with high confidence in scientists feel less responsible for global warming, and also show less concern for global warming. These results have substantial implications for the interaction between scientists and the public in general, and for the public discussion of global warming and climate change in particular.

This textbook provides an introduction to the scientific study of sociology and other social sciences. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on society. The authors present an integrated approach to research design and empirical analyses in which researchers can develop and test causal theories. They use examples from social science research that students will find engaging and inspiring and that will help them to understand key concepts. The book makes technical materials accessible to students who might otherwise be intimidated by mathematical examples. This new text, with the addition of sociologist Steven A. Tuch to the author team, follows the successful format, approach, and pedagogical features in Paul M. Kellstedt and Guy D. Whitten's bestselling text, The Fundamentals of Political Science Research, now in its third edition. Workbooks in Stata, SPSS, and R, three of the most popular statistical analysis programs, are available as separate purchases to accompany this textbook, enabling students to connect the lessons of this book to hands-on applications of the software.

MacKuen, Erikson, and Stimson's classic article "Macropartisanship" extended the study of political behavior from static analyses of American elections to the dynamics of partisanship between elections. This launched new frontiers of research, such as studying the effects of presidential approval and economic indices on aggregate party identification. However, the Macropartisanship literature made an important oversight: changes in partisanship between elections are usually from one partisan group to identification as an independent, or vice versa. A single measure of aggregate partisanship, like the original Macropartisanship measure, leaves out independents altogether. This has important theoretical and empirical consequences that are evident in an era of increasingly strong partisanship. We conceive of Macropartisanship as a compositional variable and study how its components are affected by changes in economic sentiment and presidential approval.

When citizens hold multiple values relevant to their policy opinions, they might experience value conflict, value reconciliation or make a value trade-off. Yet, it is unclear which individuals are able to manage their multiple values in these ways. We posit a sophistication-interaction theory of value pluralism where the most politically sophisticated individuals are able to reconcile the existence of multiple values, thus increasing the stability of their policy opinions. We test this hypothesis using a series of heteroskedastic graded item response theory models of public opinion toward policies related to climate change. We find that people structure their policy preferences toward climate change policies in values toward the environment and the economy, but only the most sophisticated citizens are able to reconcile the potential conflict between these values.

This workbook teaches students how to use the popular Stata statistical software program to assess causal relationships using real data. It parallels the main Kellstedt/Whitten/Tuch text, which allows students to apply the lessons and techniques they learn in each chapter in a statistical software setting.