Resume

• 2008

  Doctor of Philosophy (PhD)

  Core Areas: Social Psychology

  Economic Sociology\nCertificates: College Teaching

  East Asian Studies

  Sociology

  Duke University

• 2006

  Department of Sociology

  Duke University

  Duke University

  Hanover

  NH

  Assistant Professor of Sociology

  Dartmouth College

  Department of Sociology

  Duke University

  Duke University

  Durham

  North Carolina

  Visiting Assistant Professor of Sociology

  South Hadley

  Massachusetts

  Visiting Assistant Professor of Sociology

  Mount Holyoke College

  Japanese

  English

  Foreign Language & Area Studies Fellowship (Japanese)

  Asian/Pacific Studies Institute

  Duke University

  Tiryakian Award for Mentored Research

  Department of Sociology

  Duke University

  Social Impact Practicum Initiative

  Dartmouth Center for Service

  Pre-Dissertation Research Fellowship

  Duke University Graduate School

  Seed Funding Grant

  \"Identity Coherence

  Social Stress

  and Health Outcomes\"

  Office of the Provost

  Dartmouth College

  Summer Research Fellowship

  Duke University Graduate School

  Faculty Research Assistance Grant

  Mount Holyoke College

  CompX Grant

  \"Modeling Identity Dynamics and Uncertainty in Social Interaction\"

  Neukom Institute for Computational Science

  Linda K. George Research Grant

  Department of Sociology

  Duke University

  2017 Outstanding Recent Contribution in Social Psychology Award

  Schröder

  Tobias

  Jesse Hoey

  and Kimberly B. Rogers. 2016. “Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory.” American Sociological Review 81: 828-55.

  Social Psychology Section

  American Sociological Association

  Faculty Research Grant

  Mount Holyoke College

  Bass Fellowship for Undergraduate Instruction

  Duke University Graduate School

  Excellence in Graduate Teaching Award

  Department of Sociology

  Duke University

  Digging into Data Challenge

  “Theoretical and Empirical Modeling of Identity and Sentiments in Collaborative Groups”

  National Science Foundation (Trans-Atlantic Platform)

  2017 Outstanding Article Publication Award

  Schröder

  Tobias

  Jesse Hoey

  and Kimberly B. Rogers. 2016. “Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory.” American Sociological Review 81: 828-55.

  Mathematical Sociology Section

  American Sociological Association

  Dean of the Faculty Mentoring Award

  Dean of the Faculty

  Dartmouth College

  Gateway Course Initiative

  Introduction to Sociology

  Dartmouth Center for the Advancement of Learning

  Doctoral Dissertation Research Improvement Grant

  National Science Foundation

  Master of Arts (M.A.)

  Core Areas: Social Psychology

  Economic Sociology

  Sociology

  Duke University

• 2005

  Fuqua School of Business

  Duke University

  Fuqua School of Business

  Duke University

• 2003

  Master of Arts (M.A.)

  Core Areas: Cross-Cultural Psychology

  Emotion

  Psychology

  Wake Forest University

  Contextualizing Consumer Behavior

  The Social Psychology of Inequality

  Senior Research Seminar on Culture

  Status and Power in Social Interaction

  Introduction to Sociology

  Globalization

  Organizations

  and Inequality

  Survey Research and Data Analysis

  Self and Society

  Organizations and Global Competitiveness

• 1999

  Bachelor of Arts (B.A.)

  Major: Psychology\nMinors: Sociology/Anthropology

  History

  Psychology

  Randolph-Macon Woman's College

• Statistics

  Sociology

  College Teaching

  Teaching

  Social Networking

  Survey Design

  Social Sciences

  Emotions

  Research Design

  Economic Sociology

  Qualitative Research

  Social Psychology

  Grant Writing

  Social Networks

  Data Analysis

  Experimental Design

  Sociology of Culture

  Research

  Quantitative Research

  Higher Education

  Do You See What I See? Testing for Individual Differences in Impressions of Events

  Affect control theory shows how cultural meanings for identities and behavior are used to form impressions of events and guide social action. In this research

  I examine whether members of the same culture tend to process social events in the same way

  with a focus on U.S. English speakers. I find widespread consensus in the mechanisms of impression formation

  particularly for judgments of evaluation (goodness

  esteem)

  but also find sufficient individual differences to warrant further study for models of potency (power

  dominance) and object impressions (feelings about the target of a behavior). Findings support long-standing claims that members of U.S. English language culture

  especially cultural experts

  tend to process social events in the same way. However

  I find no significant gender differences in event processing. I close the paper by estimating and interpreting new impression change equations using methodological techniques appropriate to the degree of consensus found for each model.

  Do You See What I See? Testing for Individual Differences in Impressions of Events

  Identity Meanings and Categorical Inequality

  Drawing on Bayesian probability theory

  we propose a generalization of affect control theory (BayesACT) that better accounts for the dynamic fluctuation of identity meanings for self and other during interactions

  elucidates how people infer and adjust meanings through social experience

  and shows how stable patterns of interaction can emerge from individuals’ uncertain perceptions of identities. Using simulations

  we illustrate how this generalization offers a resolution to several issues of theoretical significance within sociology and social psychology by balancing cultural consensus with individual deviations from shared meanings

  balancing meaning verification with the learning processes reflective of change

  and accounting for noise in communicating identity. We also show how the model speaks to debates about core features of the self

  which can be understood as stable and yet malleable

  coherent and yet composed of multiple identities that may carry competing meanings. We discuss applications of the model in different areas of sociology

  implications for understanding identity and social interaction

  as well as the theoretical grounding of computational models of social behavior.

  Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory

  Lynn Smith-Lovin

  Boiger and Mesquita (2012) present a social constructionist perspective on emotion that argues for its multilevel contextualization through social interactions

  relationships

  and culture. The present comments offer a response to the authors’ call for input from other disciplines. We provide a sociological perspective on emotion construction at each of the contextual levels discussed by Boiger and Mesquita

  and discuss a model that can address interdependencies between these levels. Our remarks are intended to identify additional literature that can be brought to bear on multilevel emotion construction and to put forward some ideas for future research on the subject.

  Answering the Call for a Sociological Perspective on the Multi-Level Social Construction of Emotion

  Meiyappan Nagappan

  Deepak Rishi

  Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here

  we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First

  because empirical research on groups relies on manual coding

  it is hard to study groups in large numbers (the scaling problem). Second

  conventional statistical methods in behavioral science often fail to capture the nonlinear interaction dynamics occurring in small groups (the dynamics problem). Machine learning helps to address the scaling problem

  as massive computing power can be harnessed to multiply manual codings of group interactions. Computer simulations with artificially intelligent agents help to address the dynamics problem by implementing social psychological theory in data-generating algorithms that allow for sophisticated statements and tests of theory. We describe an ongoing research project aimed at computational analysis of virtual software development teams.

  Artificial Intelligence and Social Simulation: Studying Group Dynamics on a Massive Scale

  Bridging Emotion Research: From Biology to Social Structure

  Andrew Miles

  Emotions and Affect as Source

  Outcome

  and Resistance to Inequality

  Wolfgang Scholl

  Affect control theory and the stereotype content model share explanatory goals and employ compatible measurement strategies but have developed in largely separate literatures. The present article examines the models’ commensurability and discusses new insights that can be gained by comparing theories. We first demonstrate that the unique measurement dimensions used by each theory (evaluation/potency/activity vs. warmth/competence) describe much of the same semantic content. We then show how simulation techniques developed by affect control theorists can be applied to the study of interactions with stereotyped groups. These simulations indicate broad consistencies between the theories’ predictions but highlight three distinctive emphases of affect control theory. Specifically

  affect control models predict that actors are motivated to behave in ways that (1) are consistent with self-meanings

  (2) maintain cultural norms about the suitability of behaviors and emotions to role relations

  and (3) account for behavior and emotion in prior interactions.

  The Affective Structure of Stereotype Content: Behavior and Emotion in Intergroup Context

  David Heise

  This research investigates how impressions are formed from simple social events described in the Arabic language. Multilevel data enable us to investigate the degree of cultural consensus in how native Arabic-speakers currently living in North Carolina view social events. These data allow us to investigate a core assumption of affect control theory—that affective responses to social events are shared within a language culture. The results of hierarchical linear modeling suggest little variation in the constant and stability effects during event processing among these Arabic-speakers from very diverse backgrounds. Evaluation constants and stability effects show no significant individual-level variation and can be described by a simple event-level model. In particular

  evaluation processing is similar for Arabic-speaking men and women and for Muslims and Christians. Potency and activity dynamics show slight differences by gender and religion. We then proceed to estimate Arabic evaluation dynamics using regression techniques

  and compare them to U.S. English equations. Arabic equations are consistently simpler than U.S. English ones

  and stability effects are consistently smaller. In the Arabic equations

  nice behaviors make actors seem more powerful

  while the reverse is true in U.S. English equations. In general

  the object of an action appears to be more important in Arabic than in English impression-change models.

  A Multilevel Investigation of Arabic-Language Impression Change

  Katie James

  Jody Clay-Warner

  Social Psychology Quarterly

  How do people feel when they benefit from an unfair reward distribution? Equity theory predicts negative emotion in response to over-reward

  but sociological research using referential standards of justice drawn from status-value theory repeatedly finds positive emotional responses to over-reward. Researchers have proposed methodological explanations for these different findings

  but we propose a theoretical explanation—that over-reward based on local comparisons with an interaction partner creates guilt and other negative emotions

  while over-reward relative to an abstract justice standard leads to more positive emotion. We describe two experiments that address methodological explanations for the status value findings: (1) lack of tangible rewards and (2) lack of sufficiently large over-rewards. We find that people who are over-rewarded relative to their referential expectations still report less negative emotion and more positive emotion than those who receive expected rewards. We report results from a third experiment that demonstrate support for our theoretical argument.

  Justice Standard Determines Emotional Responses to Over-Reward

  Christian von Scheve

  In recent years

  scholars have come to understand emotions as dynamic and socially constructed—the product of interdependent cultural

  relational

  situational

  and biological influences. While researchers have called for a multilevel theory of emotion construction

  any progress toward such a theory must overcome the fragmentation of relevant research across various disciplines and theoretical frameworks. We present affect control theory as a launching point for cross-disciplinary collaboration because of its empirically grounded conceptualization of social mechanisms operating at the interaction

  relationship

  and cultural levels

  and its specification of processes linking social and individual aspects of emotion. After introducing the theory

  we illustrate its correspondence with major theories of emotion construction framed at each of four analytical levels: cultural

  interactional

  individual

  and neural.

  Dissecting the Sociality of Emotion: A Multi-Level Approach

  Wolfgang Scholl

  Shuuichiro Ike

  Julija Mell

  This paper compares affective meanings of various stereotyped social groups in U.S.

  German

  and Japanese cultures along the three basic dimensions of emotional experience (evaluation

  potency

  and activity). Analyses exploring similarities in affective meanings between respondents revealed considerable consensus within cultures

  but less across cultures. These analyses indicated greater consensus for the U.S. and German sample than for the Japanese sample

  supporting past research which indicates that Japanese social perception is more contextualized than in Western cultures. Analyses of cross-cultural differences also identified meaningful patterns of culture-specific deviation

  interpretable in terms of the placement of each national sample on cultural dimensions such as power distance

  masculinity

  and individualism/collectivism. We argue that affective meanings reflect the social order of specific cultures

  making variations in consensus significant as affective meanings guide intergroup behavior and emotion.

  Affective Meanings of Social Groups in Cross-Cultural Comparison

  This research evaluates the relative merits of two established and two newly proposed methods for modeling impressions of social events: stepwise regression

  ANOVA

  Bayesian model averaging

  and Bayesian model sampling. Models generated with each method are compared against a ground truth model to assess performance at variable selection and coefficient estimation. We also assess the theoretical impacts of different modeling choices. Results show that the ANOVA procedure has a significantly lower false discovery rate than stepwise regression

  whereas Bayesian methods exhibit higher true positive rates and comparable false discovery rates to ANOVA. Bayesian methods also generate coefficient estimates with less bias and variance than either stepwise regression or ANOVA. We recommend the use of Bayesian methods for model specification in affect control theory.

  Distinguishing Normative Processes From Noise: A Comparison of Four Approaches to Modeling Impressions of Social Events

  Kimberly B. Rogers is an Assistant Professor of Sociology at Dartmouth College. She previously served as a Visiting Assistant Professor of Sociology at Mount Holyoke College and Duke University. Kimberly received her PhD in Sociology from Duke University in 2013

  and her MA in Psychology from Wake Forest University in 2005. Her publications examine behavioral and emotional responses to stereotyped groups

  compare consensus in identity sentiments within and between cultures

  explore emotions as both symptoms and sources of inequality

  and review the interdependent cultural

  relational

  situational

  and biological mechanisms of emotion construction. Her recent work explains how Bayesian methods can help account for variation and dynamic fluctuation in identity meanings during social interaction

  as well as meaning change through social experience. Kimberly's other research in progress pertains to justice and emotion

  social influence

  and the mechanisms of impression formation.

  Kimberly

  Rogers

  Dartmouth College

  Mount Holyoke College