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Researchers commonly ask subjects to self-identify their race from a menu of preestablished options. Yet if race is a multidimensional, multilevel social construction, this has profound methodological implications for the sciences and social sciences. Race must inform how we design large-scale data collection and how scientists utilize race in the context of specific research questions. This landmark collection argues for the recognition of those implications for research and suggests ways in which they may be integrated into future scientific endeavors. It concludes on a prescriptive note, providing an arsenal of multidisciplinary, conceptual, and methodological tools for studying race specifically within the context of health inequalities.

Contributors: John A. Garcia, Arline T. Geronimus, Laura E. Gómez, Joseph L. Graves Jr., Janet E. Helms, Derek Kenji Iwamoto, Jonathan Kahn, Jay S. Kaufman, Mai M. Kindaichi, Simon J. Craddock Lee, Nancy López, Ethan H. Mereish, Matthew Miller, Gabriel R. Sanchez, Aliya Saperstein, R. Burciaga Valdez, Vicki D. Ybarra


Table of Contents

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  1. Title Page, Copyright Page
  2. pp. 1-4
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  1. Contents
  2. pp. v-vi
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  1. Figures and Tables
  2. pp. vii-viii
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  1. Foreword
  2. pp. ix-xii
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  1. Preface
  2. pp. xiii-xvi
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  1. Chapter 1: Introduction: Taking the Social Construction of Race Seriously in Health Disparities Research
  2. pp. 1-22
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  1. Part I: Charting the Problem
  1. Chapter 2: The Politics of Framing Health Disparities: Markets and Justice
  2. pp. 25-38
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  1. Chapter 3: Looking at the World through “Race”-­Colored Glasses: The Fallacy of Ascertainment Bias in Biomedical
  2. pp. 39-52
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  1. Chapter 4: Ethical Dilemmas in Statistical Practice: The Problem of Race in Biomedicine
  2. pp. 53-66
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  1. Chapter 5: A Holistic Alternative to Current Survey Research Approaches to Race
  2. pp. 67-84
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  1. Part II: Navigating Diverse Empirical Settings
  1. Chapter 6: Organizational Practice and Social Constraints: Problems of Racial Identity Data Collection in Cancer Care and Research
  2. pp. 87-103
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  1. Chapter 7: Lessons from Political Science: Health Status and Improving How We Study Race
  2. pp. 104-116
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  1. Chapter 8: Advancing Asian American Mental Health Research by Enhancing Racial Identity Measures
  2. pp. 117-130
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  1. Part III: Surveying Solutions
  1. Chapter 9: Representing the Multidimensionality of Race in Survey Research
  2. pp. 133-145
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  1. Chapter 10: How Racial-­Group Comparisons Create Misinformation in Depression Research: Using Racial Identity Theory to Conceptualize Health Disparities
  2. pp. 146-162
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  1. Chapter 11: Jedi Public Health: Leveraging Contingencies of Social Identity to Grasp and Eliminate Racial Health Inequality
  2. pp. 163-178
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  1. Chapter 12: Contextualizing Lived Race-­Gender and the Racialized-­Gendered Social Determinants of Health
  2. pp. 179-212
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  1. Notes on Contributors
  2. pp. 213-216
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  1. Index
  2. pp. 217-228
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