Quick update on where things stand w/ our ability to analyze the relative efficacy of different sorts of Giving Games…
I’m working on a spreadsheet that will basically take all the data we collect about each game and put it into a pivot table. Then users will be able to look at whatever cuts of data they want: all data for games involving AMF, all data for games including a local option, games w/ 2 charities vs. games with 3, games in US vs. games in UK, etc. I just completed a very preliminary prototype, but there’s still a bunch of work to do to get it operating smoothly and back populate some of our old data. Eventually I’d like to make this a shared resource that GG facilitators and researchers can access.
Hi Jon Behar: I read that there might be an academic paper looking at the impact of giving games in the works, could you confirm this? Would be interested in reading if so.
We’ve run a lab experiment where we tested the effects of giving people money to donate to their choice of two charities featured in a TED talk all subjects watched. It’s described here, my collaborator is working on writing it up for publication. Takeaway is that the “Giving Game Treatment” saw huge (2-4x) increases in amount of their own money people donated, % of people who signed up for at least one charity newsletter, and total # of subscriptions relative to the control group.
Next thing we want to test is whether we can create lasting changes in attitudes and behaviors. Not sure yet whether that will be a formal (intended for academic publication) study or not.
Btw, while not directly related to the efficacy of Giving Games, there are also a couple of academic studies likely to be published that have used the Giving Game model to test hypotheses by varying the information provided to different treatments. Some U Chicago researchers did this to extend their research on the “other minds problem” and I’m working with someone at U of Hamburg to expand the literature on how “social information” affects giving.
Quick update on where things stand w/ our ability to analyze the relative efficacy of different sorts of Giving Games…
I’m working on a spreadsheet that will basically take all the data we collect about each game and put it into a pivot table. Then users will be able to look at whatever cuts of data they want: all data for games involving AMF, all data for games including a local option, games w/ 2 charities vs. games with 3, games in US vs. games in UK, etc. I just completed a very preliminary prototype, but there’s still a bunch of work to do to get it operating smoothly and back populate some of our old data. Eventually I’d like to make this a shared resource that GG facilitators and researchers can access.
Awesome! I’m looking forward to reading/faceting that.
Hi Jon Behar: I read that there might be an academic paper looking at the impact of giving games in the works, could you confirm this? Would be interested in reading if so.
We’ve run a lab experiment where we tested the effects of giving people money to donate to their choice of two charities featured in a TED talk all subjects watched. It’s described here, my collaborator is working on writing it up for publication. Takeaway is that the “Giving Game Treatment” saw huge (2-4x) increases in amount of their own money people donated, % of people who signed up for at least one charity newsletter, and total # of subscriptions relative to the control group.
Next thing we want to test is whether we can create lasting changes in attitudes and behaviors. Not sure yet whether that will be a formal (intended for academic publication) study or not.
Btw, while not directly related to the efficacy of Giving Games, there are also a couple of academic studies likely to be published that have used the Giving Game model to test hypotheses by varying the information provided to different treatments. Some U Chicago researchers did this to extend their research on the “other minds problem” and I’m working with someone at U of Hamburg to expand the literature on how “social information” affects giving.