Speaker: Dr. Suzanne Jak
Title: Big Data in the Social Sciences
Date: 13 March, 1-2pm
Venue: AS4/02-08 (Psychology Department Meeting Room)
One of the many definitions of Big Data is: ‘datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze’. Big data is extremely popular in business industries, marketing, and various fields of research. In psychology, or social sciences in general, research using big data is relatively scarce, despite the availability of possibly interesting big data from Facebook and Twitter. One of the reasons for the non-use of big data may be the computational skills that are needed to perform the statistical analyses. In this talk I will try to provide an overview of what big data is, its applications in psychology, the current options to analyze big data, and the problems associated with big data. The presented work is very preliminary, so input is most welcome.
About the Speaker:
Suzanne Jak completed her PhD in 2013 at the University of Amsterdam (The Netherlands), with a dissertation about measurement invariance in multilevel data. After graduation, she started working as a post-doctoral researcher at Utrecht University. She received a Rubicon-grant from the Netherlands Organisation for Scientific Research, to work on meta-analytic structural equation modeling with Mike Cheung at the National University of Singapore during the year 2015.