Rethinking the Orthodoxy of Social Science: Dealing with non-significant results using Bayes factors
Date:
07/02/2012
Organised by:
NCRM, University of Southampton
Presenter:
Zoltan Dienes, University of Sussex
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
Training Administrator
National Centre for Research Methods
University of Southampton
Email: jmh6@soton.ac.uk
Tel: 023 8059 4069
Location:
View in Google Maps (BN1 9QH)
Venue:
Pevensey Building, Falmer, University of Sussex, Brighton
The purpose of the course is to present simple tools for dealing with non-significant results - an area which social scientists (including psychologists) have consistently found problematic. In particular, people will be taught how to apply Bayes Factors and likelihood intervals to draw meaningful inferences from non-significant data, using free on-line software: Software which allows one to determine whether there is strong evidence for the null and against one's theory, or if the data are just insensitive, a distinction p_values cannot make. These tools have greater flexibility than power calculations and allow null results to be interpreted over a wider range of situations. The tools can also be used more generally than just for null results; they overcome problems both with "running until one gets a significant result" and with the ambiguity of planned versus post hoc testing. Such tools should allow the publication of null results to become easier.
Cost:
The fee is:
1. £30 - For UK registered postgraduate students
2. £60 - For staff at UK academic institutions, ESRC funded researchers and registered charity organisations
3. £220 - For all other participants
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Website and registration:
Region:
South East
Keywords:
Behavioural Research, Hypothesis testing research
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