Forum
What is DR@W Forum?
DR@W Forum is an interdisciplinary discussion series which focuses on theoretical and empirical research about decision making.
The usual structure of the forum is a 30 - 45 minute introduction of the topic/working paper, with ample additional time for discussion.
The audience prefers discussing work-in-progress topics as opposed to finished papers. We meet on Thursdays between 2:30 and 3:45pm during term time, with streaming via Zoom. Contact John Taylor (John.Taylor[at]wbs.ac.uk) if you would like to suggest a speaker for a future event. Notifications of upcoming DR@W Forum events along with other decision research related activities can be obtained by registering with the moderated Behaviour Spotlight email listLink opens in a new window.
Note that several talks during the 2024/25 academic year are being hosted and orgnanised by the Economics department. This is indicated in the calendar entries. These talks will all take place in the Social Studies building. If you require further details regarding these sessions, please contact Matthew Ridley (Matthew.Ridley[at]Warwick.ac.uk) in the Economics department.
DR@W Forum - Eric Johnson (Columbia Business School)
Some behavioral research aims to affect policy and management practice with quickly applied insights. To do this, research findings should generalize from the settings of the original study to applications. However, research results reflect both the manipulation of interest as well as a myriad of unobserved sources of heterogeneity. To generalize, we need to understand this heterogeneity. We re-analyze existing data and simulations to propose a toolbox to help researchers leverage heterogeneity in the service of generalization. The five tools that consumer researchers might use to increase the generalizability of their findings are: 1) Measure proximal moderators that describe respondents' interaction with the setting. 2) Exploit purposive variation to increase variation on relevant moderators and settings. 3) Measure manipulation intensity and measurement error. 4) Use survey para-data to estimate moderators. 5) Harness proximal moderators and purposive variation to generalize effect sizes. We suggest that our toolbox can help advance our field towards higher practical impact by moving beyond understanding what works, to understanding what works when, where and why.