Thank you to our volunteers!
Responses from DLABSS volunteers like you have provided valuable contributions to social science research. Check out the publications and working papers below, all of which have utilized studies conducted on DLABSS.
Publications using DLABSS Research
Carney, Riley. 2013. "Observing the Effects of Status Hierarchy on Civic Engagement Through 311 Hotlines." Undergraduate thesis, Harvard University.
Hankinson, Michael. 2017. "Why Is Housing So Hard To Build?" PhD diss., Harvard University.
Kurdi, Benedek and Mahzarin R. Banaji. 2019. “Attitude Change via Repeated Evaluative Pairings Versus Evaluative Statements: Shared and Unique Features.” Journal of Personality and Social Psychology: Attitudes and Cognition.
Working Papers and Conference Presentations using DLABSS Research
Bonikowski, Bart and Yueran Zhang. 2017. “Populism as Dog-Whistle Politics: Anti-Elite Discourse and Sentiments toward Minorities in the 2016 Presidential Election.” Working Paper, Harvard University.
Bucchianeri, Peter and Ryan Enos. “The Influence of Perceived Losses on the Strength (and Stickiness) of Public Opinion,” Working paper, Harvard University.
Carney, Riley and Ryan Enos. "Conservatism and Fairness in Contemporary Politics: Unpacking the Psychological Underpinnings of Modern Racism," Working paper, Harvard University. (Prior versions presented at the 2015 Midwest Political Science Association, annual meeting, Chicago and the 2017 NYU CESS Experiments Conference.)
Charlesworth, Tessa. “Face cues trump race cues in guiding evaluative social judgments (working title).” Working paper, Harvard University
Hankinson, Michael. 2017. “Do NIMBYs Think Outside of Their Neighborhood? Free-Riding and Fairness in Collective Action.” Working Paper, Harvard University.
Hudson, Sa-kiera T. J. and Jim Sidanius. “The Influence of Sexual Orientation and Race on Gender Prescriptive Stereotypes,” Working paper, Harvard University.
Kappmeier, Mariska. “Can we trust you? Study about intergroup trust,” Working paper, Harvard University.
Kaufman, Aaron. “An Automated Method to Estimate Bias in Survey Questions,” Working Paper, Harvard University.
Rose, Reagan M., Luke Miratrix*, Aaron Kaufman and Jason Anastasopoulos. 2017. "Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data," Joint Statistical Meeting, Baltimore.
Seegars, Lumumba and Jim Sidanius. “Person-Environment Fit and Hierarchy-Enhancing Resource Allocation,” Under review at Organizational Behavior and Human Decision Processes.
Strange, Austin, Ryan D. Enos, Mark Hill, and Amy Lakeman. 2018. “Intrinsic Motivation at Scale: Online Volunteer Laboratories for Social Science Research,” (Prior version presented at the American Political Science Association, annual meeting, San Francisco).