ESRC Conference: Bayesian Data Analysis in the Social Sciences Curriculum
This ESRC funded conference considers how and why we should aim to bring Bayesian methods into the statistics curriculum in the social sciences.
- From: Friday 29 September 2017, 9.30 am
- To: Friday 29 September 2017, 4.30 pm
- Registration: 9.30 am
- Location: Nottingham Conference Centre, Burton Street, Nottingham, NG1 4BU
- Cost: £20 (£10 Early Bird Fee before Friday 1 September 2017)
- Booking deadline: Thursday 28 September 2017, 12.00 am
- Download this event to your calendar
Bayesian methods for data analysis have grown in popularity across the social sciences within the last two decades. However, they have yet to become part of the statistics curriculum that is taught in most undergraduate or even graduate level social science degree courses. This slows the adoption of Bayesian methods in many fields of study where they might otherwise provide great benefits. This ESRC funded conference considers how and why we should aim to bring Bayesian methods into the statistics curriculum in the social sciences. It comes at the finale of a series of ESRC sponsored workshops on Bayesian methods in the social sciences that were held at Nottingham Trent University for the last three years.
The conference will centre around talks by some renowned experts in both Bayesian and classical statistical methods, including talks by Richard Morey (University of Cardiff), Zoltan Dienes (University of Sussex) and Daniel Lakens (Eindhoven University of Technology). It is hoped that this conference will be of interest to all those involved in advanced statistical data analysis, whether in teaching or in their own research. While some of the focus will be on the social sciences, we hope much of the content and discussion will be of equal appeal to those in any area of science.
Delegate Registration: A registration fee of £20 applies to this conference (Early Bird fee of £10 if booked before Friday 1 September 2017).
To book your place at this conference please visit our Online Store.
Provisional programme for the day:
|9.30 am||Registration and coffee|
|9.50 am||Thom Baguley|
Introduction And Welcome
Mark Andrews and Thom Baguley
Teaching Bayesian Data Analysis To Social Scientists
Principles For Teaching And Using Bayes Factors
Towards A Bayesian Approach In Criminology: A Case Study Of Risk Assessment In Youth Justice
First Steps Towards a Bayesian Model of Video Game Avatar Influence
Jayne Pickering, Matthew Inglis and Nina Attridge
Does Pain Affect Performance On The Attentional Networking Task?
|Bayes Factors Show Equivalence Between Two Contrasting Approaches To Developing School Pupils’ Mathematical Fluency|
|2.40 pm||Richard Morey|
The Fallacy Of Placing Confidence In Confidence Intervals
|3.30 pm||Daniel Lakens|
Learning Bayes As A Frequentist: A Personal Tragedy In Three Parts
|4.20 pm||Close and farewell|