All Stories

  1. A certainty‐weighted, belief‐based model of political attitudes: A Bayesian analysis of American public attitudes toward the Affordable Care Act
  2. Understanding the rationales and information environments for early, late, and nonadopters of the COVID-19 vaccine
  3. A bird's-eye view of phubbing: How adult observations of phone use impact judgments, epistemic trust, and interpersonal trust
  4. Has the Supreme Court become just another political branch? Public perceptions of court approval and legitimacy in a post- Dobbs world
  5. U.S. parents' attitudes toward playful learning
  6. A Deeper Anxiety
  7. A Republic, if You Can Keep It
  8. An Election Shaped by Crises
  9. Appendix: Our Data and Analytical Strategy
  10. Did the COVID-19 Pandemic Sink Trump’s Reelection?
  11. Did the COVID-19 Pandemic Sink Trump’s Reelection?
  12. Law and Order vs. Law and Order with Racial Justice
  13. Law and Order vs. Law and Order with Racial Justice
  14. List of IOD Collaborative Members
  15. Not One Electorate, but Many
  16. Online Appendix, Democracy amid Crises
  17. Preface
  18. The Best of Times, the Worst of Times
  19. The Best of Times, the Worst of Times
  20. The Electorates’ Communication Dynamics
  21. What Fundamental Factors Shape Elections?
  22. “Stop the Steal”
  23. “Stop the Steal”
  24. Democracy amid Crises
  25. Do you prefer Obamacare or the affordable care act? Simulating an informed public to improve survey measurement
  26. Promoting and Enabling Reproducible Data Science Through a Reproducibility Challenge
  27. A Partisan Pandemic: How COVID-19 Was Primed for Polarization
  28. Americans’ Attitudes toward the Affordable Care Act: What Role Do Beliefs Play?
  29. The role of non–COVID-specific and COVID-specific factors in predicting a shift in willingness to vaccinate: A panel study
  30. Research note: Lies and presidential debates: How political misinformation spread across media streams during the 2020 election
  31. Analysis and Visualization Considerations for Quantitative Social Science Research Using Social Media Data
  32. Modeling Considerations for Quantitative Social Science Research Using Social Media Data
  33. When Pundits Weigh In: Do Expert and Partisan Critiques in News Reports Shape Ordinary Individuals’ Interpretations of Polls?
  34. Data Acquisition, Sampling, and Data Preparation Considerations for Quantitative Social Science Research Using Social Media Data
  35. Measurement Considerations for Quantitative Social Science Research Using Social Media Data
  36. Exploring the Role of Media Use Within an Integrated Behavioral Model (IBM) Approach to Vote Likelihood
  37. Seeing Blue in Black and White: Race and Perceptions of Officer-Involved Shootings
  38. Intersectional invisibility revisited: How group prototypes lead to the erasure and exclusion of Black women.
  39. Attention to Campaign Events
  40. Study Designs for Quantitative Social Science Research Using Social Media
  41. When Pundits Weigh In: Do Expert and Partisan Critiques in News Reports Shape Ordinary Individuals’ Interpretations of Polls?
  42. Some Deficits and Some Misperceptions: Linking Partisanship With Climate Change Cognitions
  43. Relations Between Variables and Trends Over Time in Rdd Telephone and Nonprobability Sample Internet Surveys
  44. A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research
  45. Words That Matter
  46. When Polls Disagree: How Competitive Results and Methodological Quality Shape Partisan Perceptions of Polls and Electoral Predictions
  47. Social Media as an Alternative to Surveys of Opinions About the Economy
  48. Investigating harmful and helpful effects of watching season 2 of 13 Reasons Why: Results of a two-wave U.S. panel survey
  49. Correction: Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding
  50. Who’s Tweeting About the President? What Big Survey Data Can Tell Us About Digital Traces?
  51. Don’t Trust the Scientists! Rejecting the Scientific Consensus “Conspiracy”
  52. Motivations for Participation in an Online Social Media Community for Diabetes
  53. The Stability of Economic Correlations over Time
  54. Linking Individual-Level Survey Data to Consumer File Records
  55. Linking Knowledge Networks Web Panel Data with External Data
  56. It’s not my consensus: Motivated reasoning and the sources of scientific illiteracy
  57. Negativity and Positivity Biases in Economic News Coverage: Traditional Versus Social Media
  58. Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding
  59. Real-World Use and Self-Reported Health Outcomes of a Patient-Designed Do-it-Yourself Mobile Technology System for Diabetes: Lessons for Mobile Health
  60. Understanding and measuring mobile Facebook use: Who, why, and how?
  61. Motivated Reasoning in the Perceived Credibility of Public Opinion Polls
  62. Explaining the Diversity Deficit: Value-Trait Consistency in News Exposure and Democratic Citizenship
  63. Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research
  64. Social Media Analyses for Social Measurement
  65. Facebook Intensity Scale--Item-Specific Version
  66. Facebook Intrusion Scale--Item-Specific Version
  67. Facebook Self-Disclosure--Item-Specific Version
  68. Racial Attitudes Predicted Changes in Ostensibly Race-Neutral Political Attitudes Under the Obama Administration
  69. What motivates a conspiracy theory? Birther beliefs, partisanship, liberal-conservative ideology, and anti-Black attitudes
  70. When will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting Strategies as Criteria for Correspondence
  71. Misinformed About the Affordable Care Act? Leveraging Certainty to Assess the Prevalence of Misperceptions
  72. Assessing the Carrying Capacity of Twitter and Online News
  73. Roger Tourangeau et al., eds. Hard-to-Survey Populations. Cambridge, UK: Cambridge University Press. 2014. 648 pp. $120.00 (cloth).
  74. Beyond Probability Sampling: Population Inference in a World without Benchmarks
  75. Predicting Elections: Considering Tools to Pool the Polls
  76. Privacy Concern, Trust, and Desire for Content Personalization
  77. Social Media in Public Opinion Research: Executive Summary of the Aapor Task Force on Emerging Technologies in Public Opinion Research
  78. The impact of candidate name order on election outcomes in North Dakota
  79. Attitudes Toward Blacks in the Obama Era
  80. Can Marketing Data Aid Survey Research? Examining Accuracy and Completeness in Consumer-File Data
  81. Prevalence and Moderators of the Candidate Name-Order Effect
  82. Measuring anti-Black racial prejudice
  83. Experiments
  84. Writing the empirical social science research paper: A guide for the perplexed
  85. Implicit and explicit prejudice in the 2008 American presidential election
  86. Optimizing Survey Questionnaire Design in Political Science
  87. Realizing the Social Internet? Online Social Networking Meets Offline Civic Engagement
  88. Some clarifications on the Facebook-GPA study and Karpinski's response
  89. Facebook and academic performance: Reconciling a media sensation with data
  90. Building Social Capital in Young People: The Role of Mass Media and Life Outlook
  91. Determinants of Turnout and Candidate Choice in the 2008 U.S. Presidential Election
  92. Schools as Incubators of Democratic Participation: Building Long-Term Political Efficacy with Civic Education
  93. Identifying Best Practices in Civic Education: Lessons from the Student Voices Program
  94. America's Youth and Community Engagement
  95. Media Consumption Measure
  96. Political Awareness Scale