On behalf of CEA, I’d like to extend a huge thank you to the SEADS team. The correlation between satisfaction, LTR (likelihood to recommend), and other variables (or lack thereof) is something that’s featured in numerous discussions here at CEA, and I would encourage all EA event organizers to consider it. Their demographic analysis has informed our diversity work (e.g. before this analysis, we suspected there would be more of a correlation between gender/ethnicity and connections).
Also, while not mentioned in this document, the primary metric that the EA Forum uses was changed because of their work.
And of course, I greatly appreciate them not just doing this analysis, but also taking the time to clean it up and present publicly!
Their demographic analysis has informed our diversity work (e.g. before this analysis, we suspected there would be more of a correlation between gender/ethnicity and connections).
Notably, this accords with 2019 EA Survey data, which found no significant differences in number of close EA connections based on gender or ethnicity.
On behalf of CEA, I’d like to extend a huge thank you to the SEADS team. The correlation between satisfaction, LTR (likelihood to recommend), and other variables (or lack thereof) is something that’s featured in numerous discussions here at CEA, and I would encourage all EA event organizers to consider it. Their demographic analysis has informed our diversity work (e.g. before this analysis, we suspected there would be more of a correlation between gender/ethnicity and connections).
Also, while not mentioned in this document, the primary metric that the EA Forum uses was changed because of their work.
And of course, I greatly appreciate them not just doing this analysis, but also taking the time to clean it up and present publicly!
Notably, this accords with 2019 EA Survey data, which found no significant differences in number of close EA connections based on gender or ethnicity.