Drawing on examples from across the social sciences, this book covers everything you need to know to plan, implement, and analyze the results of population-based survey experiments. But it is more than just a "how to" manual. This lively book challenges conventional wisdom about internal and external validity, showing why strong causal claims need not come at the expense of external validity, and how it is now possible to execute experiments remotely using large-scale population samples.
Designed for social scientists across the disciplines, Population-Based Survey Experiments provides the first complete introduction to this methodology.
This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation.
Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.
Applying this process, the chapters focus on these social problems: political extremism; global human development; violence against religious minorities; computerization of work; reform of urban schools; and the utilization and costs of health care. Because these chapters exemplify the usefulness of multilevel modeling for the quantification of effects and causal inference, they can serve as vivid exemplars for the teaching of students. This use of examples reverses the usual procedure for introducing statistical methods. Rather than beginning with a new statistical model bearing on statistical theory and searching for illustrative data, each core chapter begins with a pressing social problem. The specific problem motivates theoretical analysis, gathering of relevant data, and application of appropriate statistical procedures. Readers can use the provided data sets and syntaxes to replicate, critique, and advance the analyses, thereby developing their ability to produce future applications of multilevel modeling.
The chapters address the multilevel data structures of these social problems by grouping observations on the micro units (level-1) by more macro-units (level-2) (e.g., school children are grouped by their classroom), and by conducting multilevel statistical modeling in contextual, longitudinal, and meta-analyses. Each core chapter applies a qualitative typology to nest the variance between the macro units, thereby crafting a "mixed-methods" approach that combines qualitative attributes with quantitative measures
In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious "black magic", but rather the result of some very basic arithmetic. Getting rid of confusing x's and y's, he shows that it's the intellectual questions that come before and after the calculations that are important: (i) What are the best statistics to use with your data? and (ii) What do the calculated statistics tell you?
Statistics: A Short, Clear Guide aims to help students make sense of the logic of statistics and to decide how best to use statistics to analyse their own data. What's more, it is not reliant on students having access to any particular kind of statistical software package.
This is a very useful book for any student in the social sciences doing a statistics course or needing to do statistics for themselves for the first time.
Americans are disgusted with watching politicians screaming and yelling at one another on television. But does all the noise really make a difference? Drawing on numerous studies, Diana Mutz provides the first comprehensive look at the consequences of in-your-face politics. Her book contradicts the conventional wisdom by documenting both the benefits and the drawbacks of in-your-face media.
"In-your-face" politics refers to both the level of incivility and the up-close and personal way that we experience political conflict on television. Just as actual physical closeness intensifies people's emotional reactions to others, the appearance of closeness on a video screen has similar effects. We tend to keep our distance from those with whom we disagree. Modern media, however, puts those we dislike in our faces in a way that intensifies our negative reactions. Mutz finds that incivility is particularly detrimental to facilitating respect for oppositional political viewpoints and to citizens' levels of trust in politicians and the political process. On the positive side, incivility and close-up camera perspectives contribute to making politics more physiologically arousing and entertaining to viewers. This encourages more attention to political programs, stimulates recall of the content, and encourages people to relay content to others.
In the end, In-Your-Face Politics demonstrates why political incivility is not easily dismissed as a disservice to democracy—it may even be a necessity in an age with so much competition for citizens' attention.
Noted economist Stefan Szymanski explains how modern sporting contests have evolved; how sports competitions are organized; and how economics has guided antitrust, monopoly, and cartel issues in the sporting world. Szymanski considers the motivation provided by prize money, uncovers discrepancies in players' salaries, and shows why the incentive structure for professional athletes encourages them to cheat through performance-enhancing drugs and match fixing. He also explores how changes in media broadcasting allow owners and athletes to play to a global audience, and why governments continue to publicly fund sporting events such as the Olympics, despite almost certain financial loss.
Using economic tools to reveal the complex arrangements of an industry, Playbooks and Checkbooks illuminates the world of sports through economics, and the world of economics through sports.