QualGames: A Qualtrics implementation and a database of behavioral game theory tasks

Here we share a dataset of responses from 314 participants in Singapore in 12 online decision-making tasks, and 94 participants in the United States in 10 decision-making tasks. Demographics of the Singapore participants: age: range [18.04, 29.98], mean 22.56, SD 2.16; gender: 52.23% female; ethnicity: 87.90% Chinese, 4.46% Malay, 5.10% Indian, and 2.55% other. Individual-level demographics are not included to protect participants’ privacy. The tasks administered to the Singapore participants are listed below: Risk preference task (positive domain; PRp), Risk preference task (negative domain; RPn), Risk preference task (mixed domain; RPm), Ambiguity aversion task (AA), Social value orientation task (SVO), Risky dictator game (RD), Trust game (with no choice history; TGnh), Trust game (with choice history; TG), Trust game (as Player B; TGb), Prisoner’s dilemma game (PD), Stag hunt game (SH), and Battle of the sexes game (BS). Demographics of the U.S. participants: age: range [21, 40], mean 32.48, SD 5.51; gender: 35.11% female; ethnicity: 58.51% White/Caucasian, 13.83% Hispanic, 14.89% Black/African American, 11.70% Asian/Pacific islander, and 1.06% American Indian/Alasca native. The tasks administered to the U.S. participants are listed below: Risk preference task (positive domain; PRp), Risk preference task (negative domain; RPn), Social value orientation task (SVO), Risky dictator game (RD), Trust game (with no choice history; TGnh), Trust game (with choice history; TG), Prisoner’s dilemma game (PD), Ultimatum game (as proposer; UGp), Ultimatum game (as responder; UGr), and Temporal discounting task (TD). These tasks were implemented on the Qualtrics platform. The details such as each screen that a participant may see when performing these tasks and the task code can be found in this GitHub repository: https://github.com/ntu-cam-clic/Social_Decision_Making_Tasks.git