The data in this report are based on a survey of 2,034 U.S. residents, aged 18 and older, who self-identified as video game players. The credibility interval for the sample, including the design effect (which accounts for the effect of weighting the data), is plus or minus 2 percentage points. The survey was conducted May 30 – June 7, 2022. All questionnaires were self-administered by respondents in a web-based environment. The median completion time for the survey was 15 minutes. Respondents were asked one screening question, “How often do you play video games?”, and respondents who provided any response indicating that they played video games more often than “Never” continued with the survey and were included in the final sample.
The sample was drawn by Nexus Polling from an online opt-in panel. To ensure that the final sample matched national demographic norms for video gamers, initial sampling quotas of key demographic groups were used to stratify the sample, and then demographic weights were constructed, post survey. Because there is no publicly available benchmark data for video gamers in the United States, the demographic parameters for the sample quotas and weights were estimated based on norms from the nationally representative Climate Change in the American Mind study. These norms were determined based on responses to the question “How often do you play video games?”
This project was a partnership between the Yale Program on Climate Change Communication and Unity. The survey instrument was designed by Anthony Leiserowitz, Jennifer Carman, Seth Rosenthal, and Jennifer Marlon of Yale University, with support by Marina Psaros and Malika Srivastava at Unity. The charts were designed by Liz Neyens and Jennifer Marlon of Yale University.
Rounding error and tabulation
For tabulation purposes, percentage points are rounded to the nearest whole number. As a result, percentages in a given chart may total slightly higher or lower than 100%. Summed response categories (e.g., “strongly agree” + “somewhat agree”) are rounded after sums are calculated. For example, in some cases, the sum of 25% + 25% might be reported as 51% (e.g., 25.3% + 25.3% = 50.6%, which, after rounding, would be reported as 25% + 25% = 51%).