Cindy D. Kam

Bio: Cindy D. Kam is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Politics & Public opinion. The author has an hindex of 28, co-authored 53 publications receiving 4570 citations. Previous affiliations of Cindy D. Kam include University of California, Davis.

Modeling and Interpreting Interactive Hypotheses in Regression Analysis

Abstract: This much-needed pedagogical guide explains the usage, interpretation, and presentation of interactive terms in regression analysis. Authors Franzese and Kam address persistent difficulties in the modeling and interpretation of these terms, and help scholars draw stronger links between substantive theory and statistical modeling. Their concise, self-contained guide is designed to help undergraduate and graduate students appreciate the proper use of statistics in the social sciences, and to offer researchers and practitioners a clear, compact, and handy reference guide on the use of models that incorporate interactive terms.

Students as Experimental Participants: A Defense of the ‘Narrow Data Base

Abstract: We investigate the extent to which using students as experimental participants creates problems for causal inference. First, we discuss the impact of student subjects on a study’s internal and external validity. In contrast to common claims, we argue that student subjects do not intrinsically pose a problem for a study’s external validity. Second, we use simulations to identify situations when student subjects are likely to constrain experimental inferences. We show that such situations are relatively limited; any convenience sample poses a problem only when the size of an experimental treatment effect depends upon a characteristic on which the convenience sample has virtually no variance. Third, we briefly survey empirical evidence that provides guidance on when researchers should be particularly attuned to taking steps to ensure appropriate generalizability from student subjects. We conclude with a discussion of the practical implications of our findings. In short, we argue that student subjects are not an inherent problem to experimental research; moreover, the burden of proof - of student subjects being a problem - should lie with critics rather than experimenters.

Beyond the Self: Social Identity, Altruism, and Political Participation

Abstract: Scholars have recently extended the traditional calculus of participation model by adding a term for benefits to others. We advance this work by distinguishing theoretically a concern for others in general (altruism) from a concern for others in certain groups (social identification). We posit that both concerns generate increased benefits from participation. To test these theories, we use allocations in dictator games towards an unidentified anonymous recipient and two recipients identified only as a registered Democrat or a registered Republican. These allocations permit a distinction between altruism and social identification. The results show that both altruism and social identification significantly increase political participation. The results also demonstrate the usefulness of incorporating benefits that stem from sources beyond material self-interest into rational choice models of participation.

Who Toes the Party Line? Cues, Values, and Individual Differences

Abstract: This article explores individual differences in citizens’ reliance on cues and values in political thinking. It uses experimental evidence to identify which citizens are likely to engage in heuristic processing and which citizens are likely to engage in systematic processing in developing opinions about a novel issue. The evidence suggests that political awareness crisply distinguishes between heuristic and systematic processors. The less politically aware rely on party cues and not on an issue-relevant value. As political awareness increases, reliance on party cues drops and reliance on an issue-relevant value rises. Need for cognition fails to yield clear results. The results suggest two routes to opinion formation: heuristic processing and systematic processing. Political awareness, not need for cognition, predicts which route citizens will take.

Us Against Them: Ethnocentric Foundations of American Opinion

Abstract: Ethnocentrism - our tendency to partition the human world into in-groups and out-groups - pervades societies around the world. Surprisingly, though, few scholars have explored its role in political life. Donald R. Kinder and Cindy D. Kam fill this gap with "Us Against Them", their definitive explanation of how ethnocentrism shapes American public opinion. Arguing that humans are broadly predisposed to ethnocentrism, Kinder and Kam explore its impact on our attitudes toward an array of issues, including the war on terror, humanitarian assistance, immigration, the sanctity of marriage, and the reform of social programs. The authors ground their study in previous theories from a wide range of disciplines, establishing a new framework for understanding what ethnocentrism is and how it becomes politically consequential. They also marshal a vast trove of survey evidence to identify the conditions under which ethnocentrism shapes public opinion. While ethnocentrism is widespread in the United States, the authors demonstrate that its political relevance depends on circumstance. Exploring the implications of these findings for political knowledge, cosmopolitanism, and societies outside the United States, Kinder and Kam add a new dimension to our understanding of how democracy functions.

In a Different Voice. Psychological Theory and Women’s Development. Cambridge, MA (Harvard University Press) 1982.

Abstract: Introduction 1. Woman's Place in Man's Life Cycle 2. Images of Relationship 3. Concepts of Self and Morality 4. Crisis and Transition 5. Women's Rights and Women's Judgment 6. Visions of Maturity References Index of Study Participants General Index

The WEIRDest People in the World

Abstract: Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers - often implicitly - assume that either there is little variation across human populations, or that these "standard subjects" are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species - frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior - hence, there are no obvious a priori grounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions of human nature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges.

Understanding Interaction Models: Improving Empirical Analyses

Abstract: Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative interaction models have been found to capture their intuition quite well, a survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common. We believe that considerable progress in our understanding of the political world can occur if scholars follow the simple checklist of dos and don'ts for using multiplicative interaction models presented in this article. Only 10% of the articles in our survey followed the checklist.

Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk

Abstract: We examine the trade-offs associated with using Amazon.com’s Mechanical Turk (MTurk) interface for subject recruitment. We first describe MTurk and its promise as a vehicle for performing low-cost and easy-to-field experiments. We then assess the internal and external validity of experiments performed using MTurk, employing a framework that can be used to evaluate other subject pools. We first investigate the characteristics of samples drawn from the MTurk population. We show that respondents recruited in this manner are often more representative of the U.S. population than in-person convenience samples—the modal sample in published experimental political science—but less representative than subjects in Internet-based panels or national probability samples. Finally, we replicate important published experimental work using MTurk samples.