Research

Main Journal Publications

Paolacci, G., André, Q. (forthcoming). Probabilistic Outcomes Are Valued Less in Expectation, Even Conditional on Their Realization. Management Science. [OSF page]

Leung, E., Cito, M.C., Paolacci, G., Puntoni, S. (2022). Preference for Material Products in Identity-Based Consumption. Journal of Consumer Psychology, 32 (4), 672-679. [pdf] [OSF page]

Paolacci, G., Yalcin, G. (2020). Fewer but Poorer: Benevolent Partiality in Prosocial Preferences. Judgment and Decision Making, 15(2), 173-181. [pdf] [Supplement] [OSF page]

Leung, E., Paolacci, G., Puntoni, S. (2018). Man versus Machine: Resistance to Automation in Identity-based Consumption. Journal of Marketing Research, 55(6), 818-831. [pdf] [OSF page]

Rick, S., Paolacci, G., Burson, K. (2018). Income Tax and the Motivation to Work. Journal of Behavioral Decision Making. 31(5), 619-631. [pdf]

Paolacci, G., Chandler, J. (2018). Direct replications in the era of open sampling. Behavioral and Brain Sciences , 41, E144 (commentary on “Making replication mainstream” by Zwaan, Etz, Lucas, and Donnellan). [pdf of preprint] [link]

Zwaan, R., Pecher, D., Paolacci, G., Bouwmeester, S., Verkoeijen, P., Dijkstra, K., Zeelenberg, R. (2018), Participant Nonnaiveté and the Reproducibility of Cognitive Psychology. Psychonomic Bulletin & Review, 25(5), 1968-1972. [pdf] [OSF page]

Stewart, N., Chandler, J., Paolacci, G. (2017). Crowdsourcing Samples in Cognitive Science. Trends in Cognitive Sciences, 21(10), 736-748. [pdf]

Chandler, J., Paolacci, G. (2017). Lie for a Dime: When most prescreening responses are honest but most study participants are imposters. Social Psychological and Personality Science, 8(5), 500-508. [pdf]

Goodman, J.K., Paolacci, G. (2017). Crowdsourcing Consumer Research. Journal of Consumer Research, 44(1), 196-210 [pdf]

Stewart, N., Ungemach, C., Harris, A. J. L., Bartels, D. M., Newell, B. R., Paolacci, G., Chandler, J. (2015). The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers, Judgment and Decision Making, 10(5), 479-491 [pdf]

Chandler, J., Paolacci, G., Peer, E., Mueller, P., Ratliff, K. A. (2015). Using nonnaive participants can reduce effect sizes. Psychological Science, 26(7), 1131-1139 [pdf]

Paolacci, G., Straeter, L., de Hooge, I. (2015). Give Me Your Self: Gifts are Liked More When They Match the Giver's Characteristics. Journal of Consumer Psychology, 25(3), 487-494 [pdf]

Dannenberg, A., Löschel, A., Paolacci, G., Reif, C., Tavoni, A. (2015). On the provision of public goods with probabilistic and ambiguous thresholds. Environmental and Resource Economics, 63(3), 365-383. [pdf]

Paolacci, G., Chandler, J. (2014). Inside the Turk: Understanding Mechanical Turk as a Participant Pool. Current Directions in Psychological Science, 23(3), 184-188. [pdf]

Sweldens, S., Puntoni, P., Paolacci, G., Vissers, M. (2014). The Bias in the Bias: Comparative Optimism as a Function of Event Social Undesirability. Organizational Behavior and Human Decision Processes, 124(2), 229-244. [pdf]

Chandler, J., Mueller, P., Paolacci, G. (2014). Nonnaïveté Among Amazon Mechanical Turk Workers: Consequences and Solutions for Behavioral Researchers. Behavior Research Methods, 46(1), 112-130 [pdf]

Paolacci, G., Burson, K., Rick, S. (2011). The Intermediate Alternative Effect: Considering a Small Tradeoff Increases Subsequent Willingness to Make Large Tradeoffs. Journal of Consumer Psychology, 21(4), 384-392 [pdf]

Paolacci, G., Chandler, J., Ipeirotis, P. G. (2010). Running Experiments Using Amazon Mechanical Turk. Judgment and Decision Making, 5(5), 411-419 [pdf]

Book Chapters

Zallot, C., Paolacci, G., Chandler, J., Sisso, I. (2021). Crowdsourcing in observational and experimental research. Handbook of Computational Social Science, Volume 2 Data Science, Statistical Modelling, and Machine Learning Methods, eds. U. Engel, A. Quan-Haase, S. Xun Liu, & L.E. Lyberg U., Routledge. [pdf]

Chandler, J., Paolacci, G., Hauser, D. (2020). Data Quality Issues on MTurk. In Conducting Online Research on Amazon Mechanical Turk and Beyond, ed. L. Litman, Sage.

Leung E., Paolacci, G., Puntoni S. (2019). How Technology Shapes Identity-Based Consumer Behavior. In Handbook of Research on Identity Theory in Marketing, ed. A. Reed II and M. Forehand, Edward Elgar Publishing.

Hauser, D., Paolacci, G., Chandler, J. (2019). Common Concerns with MTurk as a participants pool: Evidence and Solutions. In Handbook in Research Methods in Consumer Psychology, eds. F. Kardes, P. Herr, N. Schwarz, Routledge [pdf]

Chandler, J., Paolacci, G., Mueller, P. (2014). Risks and rewards of crowdsourcing marketplaces. In Handbook of Human Computation, ed. P. Michelucci, Springer [pdf]

Work Under Review and Selected work in Progress

“Bad Jobs” (w/ Amit Bhattacharjee)

“Value Pricing and Socioeconomic Status” (w/ Camilla Zallot and Amit Bhattacharjee)

“Detecting Attractiveness Discrimination” (w/ Bastian Jaeger and Johannes Boegershausen)

“Competition, Uncertainty, and Cheating” (w/ Andras Molnar)

“Moral Differences in the Marketplace” (w/ Camilla Zallot) 

“Selective Reporting in Market Research” (w/ Antonia Krefeld-Schwalb and Sara Constantino)

“Pricing Adaptive Products” (w/ Musa Essa and Johannes Boegershausen)

“Explanations in Dilemmatic Decisions” (w/ Gizem Yalcin)

“The Price of Science” (w/ Jason Roos and Daniël Lakens)