Fall 2018 | Volume 25
BRITE Lab News Blast
A weekly publication from the UW-Madison BRITE Lab
Announcements, Reminders, & Upcoming Events
  • Rolling application procedure for BRITE Lab small grants this year (RFP). We encourage those who are interested in BRITE Lab small grants to contact Lab Director Justin Sydnor with a short description of the study. Justin is happy to discuss preliminary ideas and he especially encourages graduate students or those newer to behavioral/experimental research to reach out at early stages of their study planning and conceptualization.

  • Spaces available but not recommended. There are openings next week and the week after. For more details, please check the calendar. However, it will be much more difficult to recruit subjects as students will be busy with their finals.

  • Major system upgrade scheduled at 12/19/2018. On December 19th, Felix will upgrade the lab's computer operating systems to Windows 10 version 1809. It is recommended that our researchers back up all their data and materials prior to that date.

  • Send interesting things to Justin and/or Felix. If you see any papers, conferences, graduate student workshops, resources, etc... that might be of interest to the broader BRITE Lab community, please send along the info to Justin and Felix. 
For this week's BRITE ideas we want to highlight a new paper " Many Labs2: Investigating Variation in Replicability Across Sample and Setting ."   

This is a second paper in the "many labs" project trying to replicate seminal or influential studies in psychology and behavioral science. Like the prior many labs, they find that some things replicate, but many do not. In this case they are finding about half the studies replicate and typically at smaller effect sizes than the original publication when they do. 

More interestingly, in this version they tried a number of things to get to the questions of whether things don't replicate is because the finding is somehow "fragile". That is, either the phenomena does show up strongly, but only under certain conditions, or it is generally not real "effects". Here is what one of the leading authors, Brian Nosek wrote about this:  " The main purpose of ML2 was to examine heterogeneity across sample & setting. Some heterogeneity was observed. It was mostly in large effects, not in weak effects. The notion that some “fragile” effects are highly sensitive to sample had no support here." That is a very interesting finding.

Another finding from the study was that within large/strong effects, while there was some heterogeneity across populations (e.g., WEIRD vs non-WEIRD populations), the "replicable effects" are usually similar across different populations. Brian Nosek had a nice "tweek storm" about the findings
that you can see here .
Interested in booking research time in the Lab?
View available time on our Lab Calendar;
email requests to the Lab Manager, Felix Zhan

Volume 25| December 7, 2018